Tool search 164,478 tools · 10,067 live servers

Send text and optional file attachments to a Telegram chat. Supports reply-to (including forum topics and channel discussion groups), parse_mode: classic markdown/html/auto (entities) or rich (Rich Message document; dialect auto-detected). parse_mode=rich cannot be combined with files. File attachments as http(s) URLs, local paths, or data: URIs. When files are provided, the message text becomes a caption. For channel posts with reply_to_id, automatically posts in the linked discussion group. Success: dict with message_id, date, chat, text, status='sent', and sender info (rich messages also set rich=true and rich_format). Error: dict with ok=false and error string. Use send_message to create new messages; use edit_message to modify existing ones. Use send_message_to_phone when targeting a phone number instead of a chat_id. Full documentation: https://github.com/alexeyleshchenko/fast-mcp-telegram/blob/main/docs/Tools-Reference.md

Load profile and metadata for one user, bot, group, or channel. Success: info dict; forum chats may include topics up to topics_limit; user targets may include common_chats up to common_chats_limit. Full documentation: https://github.com/alexeyleshchenko/fast-mcp-telegram/blob/main/docs/Tools-Reference.md

Send to a phone number: may create a temporary contact, then send text or files. Supports parse_mode: classic markdown/html/auto or rich (Rich Message; dialect auto-detected). parse_mode=rich cannot be combined with files. Success: send result plus contact_was_new / contact_removed when applicable. Full documentation: https://github.com/alexeyleshchenko/fast-mcp-telegram/blob/main/docs/Tools-Reference.md

List all profiles. Profiles group multiple social accounts together for easier management.

Get details of a specific profile including name, description, and color.

Create a new profile for grouping social accounts.

Update an existing profile. Only provided fields will be changed.

Delete a profile. The profile must have no connected accounts.

Create a social media post. Can be saved as DRAFT, SCHEDULED, or PUBLISHED immediately. ⚠️ IMPORTANT - Choose the correct mode based on user intent: **DRAFT MODE (is_draft=True)** Use when user says: "draft", "borrador", "save for later", "don't publish", "save it", "guardar" → Post is saved but NOT published and NOT scheduled. User can edit it later. **IMMEDIATE MODE (publish_now=True)** Use when user says: "publish now", "post now", "publica ya", "immediately", "right now", "ahora" → Post goes live IMMEDIATELY. **SCHEDULED MODE (default)** Use when user says: "schedule", "programar", "in X minutes/hours", "at 3pm", "tomorrow" → Post is scheduled for future publication. Use schedule_minutes to set the delay. ⚠️ MULTI-ACCOUNT USERS (agencies, multi-client setups): If the user has more than one account on the target platform, you MUST pass `account_id`. Call `accounts_list` (or `profiles_list` then `accounts_list`) first to discover the right ID. If you omit account_id when multiple accounts exist, the tool returns an error listing the candidates - use it to retry. Examples: - "Create a draft tweet" → is_draft=True - "Post this to Twitter now" → publish_now=True - "Schedule a LinkedIn post for 2 hours from now" → schedule_minutes=120 - "Post this to Acme's Twitter" → call accounts_list, find Acme's twitter ID, pass account_id

Get your data in. Pass `data` as an array of row objects to create the dataset immediately and get a dataset_ref ready for create_analysis; omit it to get an upload link for a file only the user can reach.

Attach a TikTok account by logging in ON THE SERVER, into that account's own persistent browser profile: returns a connect_url to hand a human, who scans the QR in the TikTok app. The recommended path — the browser that authenticates is the browser that later acts, and every other TikTok tool then works with `cookies` omitted (no jar to move). The paying wallet becomes the account's owner. Async: poll tiktok_connect_status with the returned token. Costs 0.01 USDC, paid per-action via x402.

List the TikTok accounts the paying wallet owns, with session health (status, profile_present, hours_since_success, last_error_code) — i.e. which of your accounts are still logged in. Costs 0.001 USDC, paid per-action via x402.

Fetch a tweet or a user from one reference. A tweet URL (incl. handle-less /i/status/<id>) returns the tweet with full thread context, parent, and optional replies/quotes; a profile URL (https://x.com/<handle>) returns the user with recent tweets. Prefer full URLs - if you only have a numeric id, pass it as a quoted string. Returns a compact human-readable view by default; pass format='json' for full structured data.

Fetch a Reddit post, subreddit, or user by ref. Posts return comments; subreddits and users return profile metadata plus recent activity.

Fetch a single web page and extract clean content. Auto-tier server-side: handles SSR (Next.js, Nuxt, TikTok, Pinterest, YouTube), SPA shells, PDFs, paywall detection, residential-proxy escalation, and stealth profiles for TikTok / Instagram / Pinterest / YouTube. Returns clean markdown (default) with a YAML frontmatter header (url, outcome, total_chars). Read 'outcome' to classify the result (success | teaser | thin_content | paywall | bot_challenge | consent_wall | login_wall | rate_limited | timeout | transient_upstream | unsupported_target | not_found | error). Large pages (>80k chars) are truncated inline with truncated_chars + a download_full_url to the complete extraction (expires ~1h). Permanently unsupported (outcome=unsupported_target, cost=0 upstream): Bluesky search, Instagram post/reel and tag/explore pages (profiles work), Pinterest search, g2.com, Truth Social, Xiaohongshu. Threads and Instagram profile pages ARE supported.

Search GitHub repositories, conversations (issues+PRs), discussions, or code, with full GitHub search syntax in the query: qualifiers (repo:, org:/user:, language:, path:, symbol:, content:, is:, stars:, label:, sort:stars), boolean AND/OR/NOT with parentheses, "exact strings", and /regex/. kind='repos': MINIMAL distinctive keywords - the project/library name only ('rtk', 'react query'); every extra word must ALL match and buries the canonical repo - filter with qualifiers, not prose. kind='code': ONE literal code pattern as it appears in files ('useState('), an "exact string", a /regex/, or symbol:name to find definitions, across 2.8M+ public repos; narrow with repo:/language:/path:. Not supported in code search: license:, enterprise:, is:vendored, is:generated. kind='conversations': returns compact previews - use glim_github_get for full content; sort: REPLACES relevance ranking (words match anywhere incl. comments), omit it for best matches. kind='discussions': GitHub Discussions, a SEPARATE index from issues/PRs - a question answered there never appears under conversations, so reach for it when a repo does its Q&A in Discussions; supports repo:/org:/author:/is:answered plus category: (the repo's own category name, needs a repo: scope), up to 10 results per page, no sort:. Set repo='owner/name' to scope to one repository (works with any kind; with repos it routes to conversations). kind is optional - inferred from the query (is:answered/category: -> discussions, is:/label: -> conversations, path:/symbol://regex/ -> code, stars:/topic: -> repos, else repos); a conversations search with no matches is retried as discussions and says so. Returns compact text by default; pass format='json' for full structured data.

Fetch GitHub data from a single ref. GitHub URL or 'owner/repo' shorthand. A repo URL or owner/repo returns metadata + README; /pull/N -> PR (with comments + changed files), /issues/N -> issue, /discussions/N -> discussion (with threaded replies), /blob/<ref>/<path> -> file (raw.githubusercontent.com URLs work too), /tree/<ref>[/<path>] -> file tree (optionally scoped to a subdirectory), /commit/<sha> -> one commit with diff, /commits[/<ref>/<path>] -> history (optionally for one file), /branches, /releases (or /releases/tag/<tag> | /releases/latest -> one release), /topics/<name> -> top repos with that topic (by stars).

Detect AI-generated text. Scores any text for AI-authorship likelihood and returns an overall verdict (AI / human / mixed) with confidence, the AI/human/AI-assisted fractions, and a segment-by-segment breakdown showing exactly which parts read as AI-written - including per-segment humanizer flags (AI output run through paraphrasing/'humanizer' tools). Use it to verify whether content (comments, articles, profiles) is AI-generated, or to check text before publishing to see which segments would trip AI detectors - revise the flagged segments and re-check. Cost scales with text length: $0.06 per 100 words, rounded up, minimum $0.06. Max input 20,000 characters.

Submits exactly ONE respondent-visible question in an existing Study. Applicability: one standalone question, or one adaptive follow-up whose wording could not be known before earlier results. Exclusion: never use this operation for a questionnaire, survey, battery, section, cohesive question set, or any request containing two or more known questions—even when every question targets the same Study. The complete known set belongs in one planned and confirmed multi-question block inside the Study and must be submitted once, not question by question. Follow-up questions remain within the existing Study; this operation does not create or enumerate Studies. The full question value may reach respondents and is not planner-only metadata. Scale, categorical, and qualitative questions are classified automatically, and the response includes status and workspace links. Automatic classification may reformulate the question; this operation does not promise verbatim wording. Locked respondent wording and response formats require a reviewed and confirmed Study plan. The question is classified before it is queued, so the returned status is authoritative: queued or running means it was submitted to respondents, while planning_required means it was declined as an unrefined research objective and nothing was submitted. A planning_required response carries the original request plus a proposed headline and respondent questions for study planning. MCP cannot read or upload a local file:// path. Use a fetchable HTTP(S) URL, a signed URL supplied by the client for the attached file, or an existing Minds workspace upload URL/path. Study tools import external file URLs into durable Minds storage before saving or running. The Study refuses to start if Minds cannot read the asset.

Generates a branded profile for one existing Mind, identified by exact ID or fuzzy name. Markdown is returned inline by default; PDF, DOCX, and PPTX artifacts are returned as base64 with a workspace link.

Supports operationId-only requests to read a previously accepted preview or creation job and retrieve its result without creating another Audience. Creates a grounded Audience of synthetic Minds from a population or audience brief. It can combine authoritative web research, supplied sources, research files, and reviewed spreadsheet distributions; persists provenance and allocation audits; supports balanced, segment-coverage, and benchmark-depth sizing; generates the same member portraits and Audience cover as in-app creation; can individually train every member of a large reviewed-dataset cohort in the background (trainMembers); is idempotent for identical inputs; and keeps the Audience private unless link sharing is enabled.

Submits exactly one respondent-visible standalone question to one existing Audience, identified by exact ID or fuzzy name. It creates a private Study for that Audience, starts asynchronous responses from its Minds, and returns the Study identifier and links. Automatic classification may reformulate the question; this operation does not promise verbatim wording. Locked respondent wording and response formats require a reviewed and confirmed Study plan. Never use this operation for a questionnaire, battery, section, cohesive question set, or any request with two or more known questions; create a Study and plan the complete multi-question block instead. MCP cannot read or upload a local file:// path. Use a fetchable HTTP(S) URL, a signed URL supplied by the client for the attached file, or an existing Minds workspace upload URL/path. Study tools import external file URLs into durable Minds storage before saving or running. The Study refuses to start if Minds cannot read the asset.

Creates or revises a non-executing draft for a multi-question plan inside an existing Study. Applicability: this is the setup operation for every questionnaire, survey, battery, section, cohesive question set, or request containing two or more known questions—even when the user did not say “study.” Include every question known now in this ONE draft, group related questions into cohesive named modules (question blocks or batteries), preserve their logical order, and execute them later as one confirmed run inside the Study. Never split a known set across one-question drafts or sequential runs. A one-question draft is valid only for genuinely standalone research; an adaptive follow-up whose wording depends on unavailable results can be planned later. The draft records intent, respondent-visible stimulus and questions, response formats, locale, method, outputs, confirmation questions, execution source policy, and revision metadata. Its source policy is part of the exact revision the user reviews; omitted means the controlled request_only default, while auto is an explicit experiment opt-in. It does not start research. When the user supplies a fixed or pre-registered instrument whose wording, order, and response formats must not change, pass it as questions (one entry per item with its exact response contract) instead of request; the planner is then bypassed and the draft is an exact transcription. Explicit response contracts remain authoritative during execution, including with attachments: categoricalOptions retain their labels and order rather than being replaced by inferred A/B file labels. MCP cannot read or upload a local file:// path. Use a fetchable HTTP(S) URL, a signed URL supplied by the client for the attached file, or an existing Minds workspace upload URL/path. Study tools import external file URLs into durable Minds storage before saving or running. The Study refuses to start if Minds cannot read the asset.

Executes the exact stored multi-question draft revision inside the target Study after explicit confirmation. One execution submits the ENTIRE draft—all named modules and all questions—as one durable run. Never execute each known question separately and never create one run per module. This operation is valid only after the person explicitly confirms the exact draft revision. The server reloads and validates the revision, method availability, runner configuration, reviewed capabilities, optional advanced-method consent, and idempotency key before queuing durable research. MCP cannot upload or read a local file:// path: attach the file through the client and use its signed HTTPS URL, upload it to Minds first, or use another fetchable HTTPS URL. Before invoking any Mind or using Study quota, the server verifies that required respondent-visible source material is readable and refuses the entire run if it is not.

Returns the authenticated workspace profile and mailing context used by broadcasts, sequences, automations, forms, and magic links. Permission: workspace:read. API reference: https://mailrith.com/developers/api-reference.

Updates profile fields, status, custom fields, tags, or sequence assignments for one subscriber. Fields omitted from the request stay unchanged. Blank optional custom field values also leave saved values unchanged, and filled-in invalid values are rejected. Effect: subscriber-change. Retry after reading the current resource state. Permission: subscribers:write. API reference: https://mailrith.com/developers/api-reference.

Changes the delivery status for one Subscriber without changing profile, targeting, or Sequence enrollment fields. Making a Subscriber Active requires consent_evidence; its collected_at value must include the correct UTC offset and must not be later than Mailrith's server time. Effect: external-email. Retry after reading the current resource state. Permissions: live_actions:write, subscribers:write. API reference: https://mailrith.com/developers/api-reference.

Put a website live at a public URL. Use this when the user wants to publish, launch, or get a page online — e.g. 'I need a website', 'put up a page for my business', 'make this live'. Takes static files (HTML, CSS, JS, images) and returns a working URL anyone can open. No build step, no config. First call: omit site_id and edit_token — you get back a url, a site_id, and an edit_token. Keep the edit_token; it's the only way to change this site later. Later calls: pass site_id + edit_token to publish over the same site. deploy REPLACES the whole site — any file you leave out is DELETED. To change just one or a few files, use update_site_file instead. To see what's currently live before editing, use get_site_files first.

Read the files of a site you already published, so you can make a targeted edit instead of rebuilding the whole site from memory. Returns a complete manifest (every file's path, size, content-type, sha256) plus the contents of the text files (HTML/CSS/JS/etc). Also returns the site's current `version` — pass it back to update_site_file so you don't overwrite a newer change. Pass `paths` to fetch only specific files; omit it to get all text files. Requires site_id + edit_token.

Change one or a few files of an already-published site, leaving every other file untouched (a merge — unlike deploy, which replaces the whole site). Ideal for small edits: fix a typo in index.html, swap a stylesheet, add one page. Best practice: call get_site_files first, edit the returned content, then call this with the files you changed and the `expected_version` from that read — if the site changed in the meantime you get a clear conflict telling you to re-read. Requires site_id + edit_token. Cannot delete files (use deploy to drop a file) and cannot remove index.html.

Provision sending infrastructure: buy branded lookalike domains, create mailboxes, start warmup. New mailboxes are ramp-limited server-side — 5 sends/day in week 1, rising to 40/day after 4 weeks — and your own calls cannot exceed that cap; poll infrastructure_status for the current dailyCap. Inputs: brand, primaryDomain, domains + inboxesEach counts, persona, physicalAddress, senderIdentity. Billing is per-provisioned-mailbox ($10/mailbox + $49 platform, min 5) and the billed quantity follows what you provision here — pass quoteOnly:true first to preview the new count + projected monthly price before committing (no silent capacity addition). Every response carries a `billing` projection { provisionedAfter (the live count AFTER this call — reality, not the ask), projectedMonthlyCents, formula }: on quoteOnly it's the preview, on an actual provision it's the real post-provision bill (a capacity-limited partial reflects only what landed). Returns { jobId, billing } — `jobId` is a correlation id only, not a trackable job handle: there is no job store and no endpoint that accepts it, so do not poll for it or treat its presence as meaningful; it exists to correlate this response with logs. A `provisioning` field is present ONLY when the call returned still OWING work, and names which state: 'pending' (a domain's DNS registration is still completing — `pendingDomain` names one of them) or 'capacity_pending' (held at a spend/plan-slot limit, so polling will NOT progress until an operator raises it — call contact_operator instead of waiting). Its ABSENCE is what says the provision finished; the only way to find out is to re-call setup_infrastructure or read infrastructure_status's `nextSteps`. An outcome carrying `provisioning`, and a quoteOnly preview, are deliberately NOT recorded against your idempotencyKey — retrying with the same key re-runs the call and finishes the job rather than replaying the unfinished answer. `domains` and `inboxesEach` are the infrastructure you want to HAVE, not an amount to add: each call keeps and resumes what this account already has and buys only the shortfall, so to provision MORE you ask for a LARGER number (domains:2 after a call that provisioned one buys the second; raising inboxesEach tops each domain up). Repeating a call therefore never buys twice, whatever you do with idempotencyKey — resend it, change it, or omit it. The key controls response replay only and has no bearing on what is purchased, so a retry is always safe. A domain this account already registered but that never landed in your account (a prior call that failed after the purchase) is ADOPTED on the retry at zero extra cost rather than bought again. A domain whose DNS setup has not finished yet is recorded and never lost — there is no per-domain DNS field to poll (infrastructure_status reports a domain count, not per-domain detail), so read its `nextSteps` for what to do next, and repeat this same call to converge on the domain and finish its DNS setup. Slot semantics: `domains: N` covers ordinals 0..N-1, and each ordinal fills to its own mailbox count (uniform via `inboxesEach`, or per-ordinal via `distribution` — see below); a repeat call at the SAME `domains` provisions nothing new once every ordinal is satisfied, so reaching ordinal 1 needs `domains:2`, not a second `domains:1` call. Mailbox addresses are DETERMINISTIC — derived from `persona` + ordinal + slot — so keep `persona` EXACTLY as it was on a resume or retry; changing it mid-account does not move existing addresses but does change what a NEW ordinal derives. `distribution` (optional, alternative to `inboxesEach`) names the per-ordinal mailbox count directly — one entry per domain ordinal, e.g. `[3, 2]` for 3 mailboxes on domain 0 and 2 on domain 1 — for a shape `inboxesEach`'s single uniform number cannot express; supply exactly one of the two (an array with `domains` entries, or the uniform count). `registerDomains` is this tenant's opt-in consent to real domain purchases made on the platform's own account (our COGS — your bill is unchanged, mailbox-count-based only); only the operator's own global switch being armed too can ever actually enable it. OMITTING it leaves any consent you previously gave UNCHANGED — pass `false` explicitly to revoke it. A call that omits `registerDomains` (or sends it `false`) on a buy-bearing request (one that needs to purchase a new domain) is refused BEFORE any spend. Once this account has consented at least once, that refusal is a 400 `registrar_optin_missing`: 'registerDomains was not set on this request' — resend the identical call with it set to true to self-correct; this is never an operator escalation. (An account that has never consented, on a platform where domain registration is not yet enabled at all, instead sees the operator-facing 503 `registrar_unarmed` — indistinguishable from the outside except by status code, but the fix is the same: set `registerDomains: true` and retry.) Separately, a `registerDomains:true` call with NO `registrant` anywhere (neither in this request nor persisted from a prior one) fails with a 400 `incomplete_registrant` naming the missing fields — also before any purchase. Fresh candidates are de-duplicated against what this account already owns and checked for availability; if a call needs to buy a domain and no available un-owned candidate exists it fails with a 400 naming that, never a silent repeat purchase (a call that needs to buy nothing is unaffected). `registrant` (a full registrant-of-record object { firstName, lastName, email, phone, addressLine1, city, state, country, postalCode, organization (optional, defaults to brand) }) is OPTIONAL even when `registerDomains` is true whenever a complete registrant is already on file from a prior call — supplying one makes it authoritative for THIS call; omitting it re-uses the persisted one. This platform never invents a domain registrant's legal identity, so a call with no registrant anywhere (neither supplied nor persisted) is rejected naming the missing fields, at or before the actual purchase — never silently. There is NO background retry: a call returning `provisioning` needs the caller to retry it; the platform does not complete it for you on a timer. Every response carries `nextSteps` (see the discriminated `status`/`steps` shape) — the account's own next action, computed fresh each time, so a stalled setup is never silent.

Reach a human operator — for anything list_messages/infrastructure_status can't answer (a stuck vendor issue, a billing question, an account-level ask). Inputs: body (1-2000 chars), urgency ('normal' | 'needs_human', default 'normal'). Files a support ticket and notifies the operator; returns { ticketId, note, deduplicated }. Works in every account state a tenant token still authenticates in, including dunning-suspended, canceling and canceled — this is exactly the channel for 'why is my account suspended?'. The ONE exception is an admin-TERMINATED (abuse) account, whose token is rejected at auth with 401 before this tool runs. The operator's reply arrives as a message on THIS account (poll list_messages / infrastructure_status.messages[] — there is no separate reply-fetch call). Sending the IDENTICAL body AND urgency again within an hour returns the SAME ticketId and does not file a second ticket or send a second alert (`deduplicated: true` on that response; `false` when a new ticket was actually filed) — no separate idempotency key is needed to retry a dropped response. This is a TEXT match, not an intent match: the platform cannot tell a deliberate retry from a coincidentally-identical NEW message, so a genuinely new ask with the same wording collapses into the earlier ticket just as silently — vary the wording (or raise urgency, which is always treated as an escalation and files a new ticket) if you have something new to say. 'needs_human' also bypasses the ~10-minute ops-email throttle so an urgent message is pushed immediately. Rate-limited to 5 calls/hour per tenant — a 429 names retryAfter (seconds) when hit.

Use this when you need to look up a Twitter/X user profile by username or URL. Returns structured profile data including bio, follower/following counts, tweet count, verification status, and recent activity. 1. username: the @handle 2. displayName: full name 3. bio: profile description text 4. followers: follower count 5. following: following count 6. tweetCount: total tweets posted 7. verified: blue checkmark status 8. createdAt: account creation date 9. avatarUrl: profile picture URL 10. bannerUrl: header image URL 11. location: stated location 12. website: linked URL 13. pinnedTweet: text of pinned tweet if any Example output: { "username": "elonmusk", "displayName": "Elon Musk", "bio": "...", "followers": 195000000, "following": 850, "tweetCount": 45000, "verified": true, "createdAt": "2009-06-02" } Use this FOR social media due diligence, influencer research, competitor monitoring, or verifying the legitimacy of an account before trusting its content. Do NOT use for tweet search -- use twitter_search_tweets instead. Do NOT use for trust/security scoring -- use trust_score_evaluate instead. Do NOT use for email lookup from social -- use email_find_by_name instead.

Use this when you need to find tweets about a topic, brand, event, or keyword. Returns up to 20 recent tweets matching the query with full text, engagement metrics, author info, and timestamps. 1. query: the search term used 2. results: array of tweet objects 3. Each tweet contains: id, text, author (username + displayName), createdAt, likes, retweets, replies, views, url 4. resultCount: number of tweets found Example output: { "query": "x402 protocol", "resultCount": 15, "results": [{ "id": "1234567890", "text": "x402 is the future of agent payments...", "author": { "username": "web3dev", "displayName": "Web3 Dev" }, "likes": 42, "retweets": 12, "replies": 5, "views": 1200, "createdAt": "2026-04-13T09:30:00Z" }] } Use this FOR market sentiment analysis, brand monitoring, competitor tracking, news discovery, trend detection, or finding what people say about a topic in real-time. Do NOT use for profile data -- use twitter_scrape_profile instead. Do NOT use for web search (non-Twitter) -- use web_search_query instead. Do NOT use for sentiment analysis of text -- use text_analyze_sentiment instead. Do NOT use for crypto news -- use crypto_get_news instead.

Use this when you need to see what a specific Twitter/X user has been posting recently. Returns their latest tweets with full text, engagement metrics, and timestamps. 1. username: the @handle queried 2. tweets: array of tweet objects with id, text, createdAt, likes, retweets, replies, views, isRetweet, isReply 3. tweetCount: number of tweets returned Example output: { "username": "VitalikButerin", "tweetCount": 10, "tweets": [{ "id": "...", "text": "Excited about the new EIP proposal...", "likes": 5200, "retweets": 890, "views": 250000, "createdAt": "2026-04-12T14:00:00Z", "isRetweet": false }] } Use this FOR monitoring specific accounts, tracking influencer activity, analyzing posting patterns, or gathering content from thought leaders. Do NOT use for profile bio/stats -- use twitter_scrape_profile instead. Do NOT use for topic search -- use twitter_search_tweets instead. Do NOT use for social profile lookup across platforms -- use social_lookup_profile instead.

Give your agent a free identity at <handle>.domani.run - a live profile page, no domain purchase, instantly. The frictionless way to start; upgrade to your own real domain later. Optional name/bio/emoji/email/links.

Place a backorder on a domain that is currently registered to someone else. We watch it and automatically register it for the user when it becomes available (drops) - availability is polled every few minutes. The user is charged only if the catch succeeds - no upfront fee. Requires a card on file or payment_method 'balance'. Confirm the domain with the user first. Best-effort: a contested drop may be taken by a specialized drop-catcher first.

"Tell me about X" / "research Acme" / "brief me on Tesla" / "what does Apple do" / "company profile for Microsoft" / "give me the rundown on NVDA" / "everything you know about $TICKER" — full cross-source profile of a US public company in ONE parallel call. ALWAYS PREFER over chaining single-pack SEC/XBRL/news lookups when the user asks for a holistic view. Fans out across SEC EDGAR, XBRL, USPTO patents, federal contracts (USAspending), FDA-licensed biologics (Purple Book), H-1B hiring (DOL LCA), news and GLEIF, and returns: cik + company_name (+ resolved_from/resolved_to when `value` was a name); recent_filings (up to 5 with pipeworx://edgar/company/{cik}/filings/{accession} URIs); fundamentals (LATEST 10-K Revenues + NetIncomeLoss + Cash, sorted period_end DESC); patents (USPTO PatentsView API sunset May 2025 — soft-fails until reactivated); federal_contracts (USAspending awards where the company is the recipient); fda_products (FDA-licensed biologics — vaccines, cell/gene therapies — from the Purple Book; a company with only small-molecule/generic drugs will show none here, that is expected, not a failure); hiring (H-1B sponsorship volume + salary range from DOL LCA filings); recent news mentions via GDELT→GNews fallback; LEI via GLEIF. `sources_used` / `sources_failed` say which of these actually returned data for THIS company — an empty section is a real "no data", not a bug. Pass a ticker ("AAPL"), zero-padded CIK ("0000320193"), OR a company name ("Moderna") — names now resolve via SEC EDGAR's company-name match; a private company (no CIK/ticker) returns resolved:false with an explicit `notes` line, not a bare failure. `type` accepts "company" or "ticker" interchangeably — both take the same `value` shapes above.

"What's new with X" / "latest on Y" / "what happened to Z this week / month / quarter" / "updates on Acme" / "news on Tesla recently" / "what's happening with Apple" — change feed for a company in the last N days/weeks/months in ONE parallel call. Fans out to SEC EDGAR (filings since `since`), GDELT→GNews fallback (news mentions in window — GDELT preferred, GNews when rate-limited or 5xx), USPTO (patents granted; PatentsView API sunset May 2025 so this soft-fails until reactivated). `since` accepts ISO date ("2026-04-01") or relative shorthand ("7d", "30d", "3m", "1y"). Returns structured changes[] grouped by source + total_changes count + pipeworx:// citation URIs. Use entity_profile instead when you want the static profile (filings + fundamentals + LEI + patents) regardless of window.

What can I ask Pipeworx? / what is Pipeworx good for? / what can you do? / give me ideas / show me examples / getting started / what data do you have? — the onboarding entry point for an agent that just connected and wants to know what is worth asking. Returns category-bucketed example questions (company financials, drugs & clinical trials, economics, real estate, prediction markets, weather, government & patents, science & academia, news) — each with the exact tool + argument shape that answers it, drawn from the live catalog of thousands of tools. Call with no arguments for the full spread, or pass `topic` (e.g. "finance", "pharma", "betting") to focus. Use this FIRST when you do not yet know what Pipeworx can do for you, or to learn how to call the meta-tools (ask_pipeworx, entity_profile, compare_entities, etc.).

Generate a production-ready llms.txt file for any URL so AI crawlers (ChatGPT, Claude, Perplexity) can index the site cleanly. Fetches the page, extracts title/description/key links, and emits the standard llms.txt markdown format. Output is a single text blob ready to drop at site-root/llms.txt. Useful for: getting a client's site indexed by AI, drafting llms.txt for your own project, or auditing how an AI crawler would see a competitor.

Tell the Pipeworx team something is broken, missing, or needs to exist. Use when a tool returns wrong/stale data (bug), when a tool you wish existed isn't in the catalog (feature/data_gap), or when something worked surprisingly well (praise). ONLY for tools served by this Pipeworx connection — if the tool came from a different MCP server in your client (another vendor's Gmail, Splunk, Slack, etc. connector), we cannot fix it and reporting it here only delays you; file it with that server instead. Not sure? Pipeworx tool names are the ones this connection lists. Describe the issue in terms of Pipeworx tools/packs — don't paste the end-user's prompt. Filing without an account returns a `claim_token`; pass it back later as pipeworx_feedback({claim_token:"pwfb_…"}) to read whether it was fixed and what changed. The team reads digests daily and signal directly affects roadmap. Rate-limited to 5 per identifier per day. Free; doesn't count against your tool-call quota.

Who you are and what you are allowed to do. Returns the account, the channels connected right now, the credit balance, and, when an agent is calling, ITS OWN limits: which profiles and networks it may post to, its daily cap, how many posts it has already made today and how many remain. Call this first: it is how you plan work you can actually complete, instead of finding the boundary by being refused. Limits are set by the account owner in the dashboard and cannot be changed from here.

Change a connected account's own profile: display name, bio, avatar or banner. Only the fields you give are changed; the rest are left alone. Images are given as public URLs and uploaded for you. A network that does not allow this refuses and says so.

Prepare or upload media so it can be attached to posts. For a public asset, pass `url` and PostLake fetches it. For a file on the agent's own machine, omit `url`, pass `contentType` and preferably `sizeBytes`, then PUT the file bytes to the short-lived upload target returned by this tool. Both paths validate type/size (images ≤20MB: jpeg/png/webp/gif; videos ≤200MB: mp4/mov/webm) and produce a med_… id for create_post. Never put file bytes or base64 in the tool call.

Create a profile: a named set of connected channels, usually one brand or client. Give the name as a person would write it, spaces and capitals included; it is slugified into the identifier you then pass as `profile` on other calls, and the response tells you what that became. Create one before connecting channels when an account is running more than one brand.

Rename a profile. The channels and posts inside it are untouched, but the identifier is re-derived from the new name, so anything holding the old `profile` string stops resolving. The response says whether the identifier actually moved, so you only have to update references when it did.

Delete a profile. This ALSO disconnects every channel in it, and reconnecting each one needs its owner to approve access on that network again, which you cannot do for them. So it refuses by default while channels are attached and tells you exactly which ones would go. Only pass force after a human has agreed to lose them.

getAccountSummary: Get a comprehensive summary of the user's account: profile, balance, domain count, VPS count, and pending transfers. Requires authentication.

getMyProfile: Get the authenticated user's profile and account information including name, email, organization, balance, and domain/VPS counts. Requires authentication.

osirAppGetSource: Get a short-lived signed download URL for an Osir app's current source zip. Use this to make edits to a deployed app without the user re-attaching the project: download, patch the files, then osirAppCreateUpload (PUT the new zip) and osirAppDeploy under the SAME name; the platform rebuilds and, for owned-tier apps, auto-ships the new version to the user's box. Requires authentication.

osirSitePublish: Publish a single-page website to a live HTTPS URL on Osir (free tier). ANY complete HTML document works: the user's own site, a page designed in this chat, or one from the osirSiteDesignBrief flow. Calling again with the same name redeploys the new version. For MULTI-FILE sites (separate CSS/JS/images) use osirAppCreateUpload + osirAppDeploy with a zip instead. Then poll osirAppStatus until READY. Requires authentication.

Browse users: top posters leaderboard, user profile, follow/unfollow. Follow/unfollow require API key.

Goal-driven autonomous planning: set goals, get AI-suggested goals based on agent profile, track progress, and manage goal execution. Requires API key.

Return the bot's own user profile (id, username, discriminator, avatar, etc).

Public profile of any Discord user by id. Bulk support: accepts user_ids for batched execution.

The official mcp.ai marketplace — the in-platform catalog of every MCP/tool, AND the way to run them. Covers capability requests like "find an MCP that does X", "consulta um CPF", "is there a tool for Y". Core flow: action=search discovers MCPs by intent → describe returns one MCP's full profile (every tool with its id + params, pricing, auth) so you pick the right tool_id → invoke RUNS that tool. KEY: invoke works even when the MCP is NOT installed — it runs the tool pontualmente (one-off), without adding the MCP to the toolkit and without bloating the tool list. If the MCP needs a credential/login, invoke returns a connect link; if it is paid and the wallet is empty, invoke returns a checkout/top-up link (the user opens it, then you retry). Use install only to make an MCP PERMANENT in the active toolkit (its tools then show up natively in future sessions); prefer invoke for a single/occasional use. list_tools lists what is callable right now. subscribe/cancel handle per-MCP billing; report_bug sends feedback; request_mcp asks us to build a NEW MCP when nothing fits. Search/describe flag installed_in_toolkit vs installed_in_workspace. Writes (install/uninstall/subscribe/cancel and the one-off install behind invoke) require workspace owner/admin. It also carries the mcp.ai PROMPT LIBRARY, which is about ready-made prompt TEXT rather than MCPs: search_prompts finds one, get_prompt returns its full text with {{variables}} filled, and publish_prompt saves a prompt and returns a shareable mcp.ai/p/<slug> link that opens without login.

The official mcp.ai marketplace — the in-platform catalog of every MCP/tool, AND the way to run them. Covers capability requests like "find an MCP that does X", "consulta um CPF", "is there a tool for Y". Core flow: action=search discovers MCPs by intent → describe returns one MCP's full profile (every tool with its id + params, pricing, auth) so you pick the right tool_id → invoke RUNS that tool. KEY: invoke works even when the MCP is NOT installed — it runs the tool pontualmente (one-off), without adding the MCP to the toolkit and without bloating the tool list. If the MCP needs a credential/login, invoke returns a connect link; if it is paid and the wallet is empty, invoke returns a checkout/top-up link (the user opens it, then you retry). Use install only to make an MCP PERMANENT in the active toolkit (its tools then show up natively in future sessions); prefer invoke for a single/occasional use. list_tools lists what is callable right now. subscribe/cancel handle per-MCP billing; report_bug sends feedback; request_mcp asks us to build a NEW MCP when nothing fits. Search/describe flag installed_in_toolkit vs installed_in_workspace. Writes (install/uninstall/subscribe/cancel and the one-off install behind invoke) require workspace owner/admin. It also carries the mcp.ai PROMPT LIBRARY, which is about ready-made prompt TEXT rather than MCPs: search_prompts finds one, get_prompt returns its full text with {{variables}} filled, and publish_prompt saves a prompt and returns a shareable mcp.ai/p/<slug> link that opens without login.

Use this when you need public profile data from a social media handle or URL. Returns structured profile data in JSON. Returns: 1. displayName and bio 2. avatarUrl 3. followerCount and followingCount 4. postCount 5. location and website 6. createdAt (account creation date) 7. isVerified (boolean) 8. platform. Example output: {"platform":"github","handle":"torvalds","displayName":"Linus Torvalds","bio":"Linux kernel developer","avatarUrl":"https://avatars.githubusercontent.com/u/1024025","followerCount":213000,"followingCount":0,"postCount":729,"location":"Portland, OR","isVerified":true} Use this FOR influencer research, lead enrichment, social listening, building contact profiles, and verifying social media presence. Do NOT use for email lookup -- use email_find_by_name instead. Do NOT use for company data -- use company_enrich_from_domain instead. Do NOT use for person enrichment by email -- use person_enrich_from_email instead.

Use this when you need public profile data from a social media handle or URL. Returns structured profile data in JSON. Returns: 1. displayName and bio 2. avatarUrl 3. followerCount and followingCount 4. postCount 5. location and website 6. createdAt (account creation date) 7. isVerified (boolean) 8. platform. Example output: {"platform":"github","handle":"torvalds","displayName":"Linus Torvalds","bio":"Linux kernel developer","avatarUrl":"https://avatars.githubusercontent.com/u/1024025","followerCount":213000,"followingCount":0,"postCount":729,"location":"Portland, OR","isVerified":true} Use this FOR influencer research, lead enrichment, social listening, building contact profiles, and verifying social media presence. Do NOT use for email lookup -- use email_find_by_name instead. Do NOT use for company data -- use company_enrich_from_domain instead. Do NOT use for person enrichment by email -- use person_enrich_from_email instead.

Get detailed profile for a specific member/account by ID.

Update CRM account/customer profile fields such as name, phone, email, life stage, owner, notes, or member code.

Append one or more blocks to the end of a post. Each block must be a valid block object: { id, version, type, data }. Types: paragraph, heading, image, list, quote, code, divider, spacer, embed, html, youtube, file, faq, callout, gallery, cta, accordion, product.

Read the text/Markdown content of a file attached to a Workroom thread or sent by a customer (PDF, image, or document). Extracts on first read and caches the result. Returns status "ready" with markdown, or "skipped"/"failed"/"not_found" with a reason. Use when a message references an attachment you need to read.

Send a WhatsApp message (text or media). Actions: - text: { to, text, reply_to? } - media: { to, type ('image'|'video'|'audio'|'document'|'sticker'), media_url | media_base64, caption?, filename?, mimetype? } `to` accepts either a JID ('5511999999999@s.whatsapp.net', '<id>@g.us') or a plain phone (digits, country code included). For groups always use the '<id>@g.us' JID — get it from whatsapp_groups. [Flattened action: text]

Send a WhatsApp message (text or media). Actions: - text: { to, text, reply_to? } - media: { to, type ('image'|'video'|'audio'|'document'|'sticker'), media_url | media_base64, caption?, filename?, mimetype? } `to` accepts either a JID ('5511999999999@s.whatsapp.net', '<id>@g.us') or a plain phone (digits, country code included). For groups always use the '<id>@g.us' JID — get it from whatsapp_groups. [Flattened action: media]

The official mcp.ai marketplace — the in-platform catalog of every MCP/tool, AND the way to run them. Covers capability requests like "find an MCP that does X", "consulta um CPF", "is there a tool for Y". Core flow: action=search discovers MCPs by intent → describe returns one MCP's full profile (every tool with its id + params, pricing, auth) so you pick the right tool_id → invoke RUNS that tool. KEY: invoke works even when the MCP is NOT installed — it runs the tool pontualmente (one-off), without adding the MCP to the toolkit and without bloating the tool list. If the MCP needs a credential/login, invoke returns a connect link; if it is paid and the wallet is empty, invoke returns a checkout/top-up link (the user opens it, then you retry). Use install only to make an MCP PERMANENT in the active toolkit (its tools then show up natively in future sessions); prefer invoke for a single/occasional use. list_tools lists what is callable right now. subscribe/cancel handle per-MCP billing; report_bug sends feedback; request_mcp asks us to build a NEW MCP when nothing fits. Search/describe flag installed_in_toolkit vs installed_in_workspace. Writes (install/uninstall/subscribe/cancel and the one-off install behind invoke) require workspace owner/admin. It also carries the mcp.ai PROMPT LIBRARY, which is about ready-made prompt TEXT rather than MCPs: search_prompts finds one, get_prompt returns its full text with {{variables}} filled, and publish_prompt saves a prompt and returns a shareable mcp.ai/p/<slug> link that opens without login.

"Tell me about X" / "research Acme" / "brief me on Tesla" / "what does Apple do" / "company profile for Microsoft" / "give me the rundown on NVDA" / "everything you know about $TICKER" — full cross-source profile of a US public company in ONE parallel call. ALWAYS PREFER over chaining single-pack SEC/XBRL/news lookups when the user asks for a holistic view. Fans out across SEC EDGAR, XBRL, USPTO, news, GLEIF and returns: cik + company_name; recent_filings (up to 5 with pipeworx://edgar/company/{cik}/filings/{accession} URIs); fundamentals (LATEST 10-K Revenues + NetIncomeLoss + Cash, sorted period_end DESC); patents (USPTO PatentsView API sunset May 2025 — soft-fails until reactivated); recent news mentions via GDELT→GNews fallback; LEI via GLEIF. Pass ticker "AAPL" or zero-padded CIK "0000320193" — names not supported (use resolve_entity first if you only have a name).

"What's new with X" / "latest on Y" / "what happened to Z this week / month / quarter" / "updates on Acme" / "news on Tesla recently" / "what's happening with Apple" — change feed for a company in the last N days/weeks/months in ONE parallel call. Fans out to SEC EDGAR (filings since `since`), GDELT→GNews fallback (news mentions in window — GDELT preferred, GNews when rate-limited or 5xx), USPTO (patents granted; PatentsView API sunset May 2025 so this soft-fails until reactivated). `since` accepts ISO date ("2026-04-01") or relative shorthand ("7d", "30d", "3m", "1y"). Returns structured changes[] grouped by source + total_changes count + pipeworx:// citation URIs. Use entity_profile instead when you want the static profile (filings + fundamentals + LEI + patents) regardless of window.

What can I ask Pipeworx? / what is Pipeworx good for? / what can you do? / give me ideas / show me examples / getting started / what data do you have? — the onboarding entry point for an agent that just connected and wants to know what is worth asking. Returns category-bucketed example questions (company financials, drugs & clinical trials, economics, real estate, prediction markets, weather, government & patents, science & academia, news) — each with the exact tool + argument shape that answers it, drawn from the live catalog of thousands of tools. Call with no arguments for the full spread, or pass `topic` (e.g. "finance", "pharma", "betting") to focus. Use this FIRST when you do not yet know what Pipeworx can do for you, or to learn how to call the meta-tools (ask_pipeworx, entity_profile, compare_entities, etc.).

Generate a production-ready llms.txt file for any URL so AI crawlers (ChatGPT, Claude, Perplexity) can index the site cleanly. Fetches the page, extracts title/description/key links, and emits the standard llms.txt markdown format. Output is a single text blob ready to drop at site-root/llms.txt. Useful for: getting a client's site indexed by AI, drafting llms.txt for your own project, or auditing how an AI crawler would see a competitor.

Tell the Pipeworx team something is broken, missing, or needs to exist. Use when a tool returns wrong/stale data (bug), when a tool you wish existed isn't in the catalog (feature/data_gap), or when something worked surprisingly well (praise). ONLY for tools served by this Pipeworx connection — if the tool came from a different MCP server in your client (another vendor's Gmail, Splunk, Slack, etc. connector), we cannot fix it and reporting it here only delays you; file it with that server instead. Not sure? Pipeworx tool names are the ones this connection lists. Describe the issue in terms of Pipeworx tools/packs — don't paste the end-user's prompt. Filing without an account returns a `claim_token`; pass it back later as pipeworx_feedback({claim_token:"pwfb_…"}) to read whether it was fixed and what changed. The team reads digests daily and signal directly affects roadmap. Rate-limited to 5 per identifier per day. Free; doesn't count against your tool-call quota.

Adds a source to a project and fetches it immediately (bounded by a few seconds), returning `storiesAdded` so the next generate_content can use it; if it is still fetching it returns `fetched:false` with a note. Doubles as manual source import: paste any URL (RSS/Atom feed, article, or a page, profile, or post on a supported platform) and leave `type` as autodetect, or create a recurring keyword search by setting `value` to the search terms and `type` to a search kind (see `type`).

Preferred media path when you can HTTP PUT. Returns a presigned URL. PUT the file bytes to that URL, then pass the returned public url into create_post. If your runtime cannot reach the storage host (common in ChatGPT), call upload_media instead.

Fallback when you cannot PUT to the presigned URL from get_media_upload_url. Pass a ChatGPT file in file, or a public https sourceUrl. SocialRobot fetches the bytes and stores them, then returns the permanent url for create_post. Prefer get_media_upload_url when you can PUT. Max 50MB.

Create one scheduled item that can publish to one or more connected social accounts. For TikTok targets, set postMode to DIRECT_POST (profile publish; privacyLevel required from tiktok_get_creator_info) or UPLOAD (inbox draft finished in the TikTok app). For X and Threads targets, pass an ordered segments array to publish a thread: segment captions/medias are posted as replies chaining from the root post.