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

List the open-source AI applications hosted and ready to run at AI NetCafé (ainetcafe.com). Each one normally requires local setup (Docker/Python + your own model API key); here they run pre-configured. Use this to find a tool for a task like translating a PDF with formulas intact, generating a PowerPoint file, polishing an academic paper, or running an autonomous research report. Do not call this first when the request already clearly matches compare_models, translate_pdf, deep_research, or make_slides; call that task tool directly. Example — GET https://ainetcafe.com/t/list_apps

Convert a PDF (or a scanned page image) into clean Markdown that keeps headings, lists and tables, and puts multi-column pages in the right reading order. Text-layer PDFs are read exactly and cost far less; images go through a vision model.

Extract tables from a PDF into structured rows (JSON + CSV). Pass fields to force a fixed set of columns — that aligns a pile of documents that each name their headers differently into one consistent table. Rows the model was unsure about are flagged rather than guessed. Text-layer PDFs only.

Turn a bank statement or transaction PDF into a clean transaction table (JSON + CSV), then cross-check it: opening + credits - debits must equal the stated closing balance. If it does not balance you get the exact difference and which row the running balance first breaks at — so you know whether the table is safe to use for accounting. Text-layer PDFs only (scanned images not yet supported).

Give it up to 20 invoice URLs (PDF or page images) and get back one table ready to post: number, date, seller, buyer, net / tax / gross, currency. Every row is checked in code — net + tax must equal gross — and the batch total is re-added independently, so a row the model misread is flagged with the exact difference instead of quietly landing in your books. Mixed currencies get no batch total on purpose: adding them together would be an accounting error. CSV is UTF-8 with BOM so Excel opens it right.

Get the status or result of a job started by deep_research, translate_pdf, or make_slides. Poll every 15-30 seconds until status is "done" or "error". While work is pending, follow retry_after_seconds and next_action; when complete, prefer structured_result when present. Example — GET https://ainetcafe.com/t/check_job?job_id=<id-from-a-job-tool>

Ruben Marcus' full resume: summary, work experience, skills, proof points, open source projects, education, links, and a PDF CV URL.

Convert a document to Markdown synchronously (the fast lane). Decode ``content_base64`` (the raw file bytes, base64-encoded) and run markitdown over it, returning ``{markdown, meta}`` where ``markdown`` is the converted text and ``meta`` carries the source ``filename`` and the output ``length`` in characters. Best for small office/HTML/text files; for large or complex documents (or OCR-heavy PDFs) use ``submit_conversion_job`` instead.

Fetch a short-lived signed URL for the return shipping label PDF. URL expires within minutes; re-call to get a fresh one. Only available once the return has progressed to label_ready.

Create a follow-up task, optionally linked to a lead (e.g. 'Send pricing PDF to Jane on Thursday'). Pro plan only.

Read one text bucket file (HTML/CSS/JS/JSON/Markdown/etc.) already stored in Revdoku. Not for binary files (images, fonts, PDFs).

FREE local input and safety check before purchase. Accepts UBL/CII XML or a base64 ZUGFeRD/Factur-X PDF with exactly one embedded invoice XML plus buyer country, expected amount/currency and a trusted payee IBAN. It checks format, limits and required context, but does not reveal the paid decision or query VIES/sanctions. Subject to daily abuse protection.

One signed decision before an EU invoice is paid: READY_FOR_BUYER_APPROVAL, HOLD_FOR_REVIEW or DO_NOT_PAY with evidence and safe next actions. Accepts UBL/CII XML or ZUGFeRD/Factur-X with one embedded invoice XML, not ordinary/scanned PDFs. Complete EN 16931 validation, live VIES, EU/UN/UK sanctions, VAT treatment and a buyer-trusted IBAN match. READY_FOR_BUYER_APPROVAL does not prove delivery, internal approval, duplicate-ledger status or bank-account ownership. Free input check first; 1.00 USDC per completed dossier, no subscription or paid follow-up.

Search all indexed agent registries at once. Args: query: capability keywords, e.g. "pdf extraction", "solana rpc", "payments" remote_only: only return services callable over the network right now limit: max results (1-50)

Extract text from a PDF by URL. Handles compressed streams, PDF 1.5+ object streams and ToUnicode CMaps, and reports encrypted or image-only documents honestly instead of returning garbage. Costs $0.01 in USDC on Base, paid via the x402 protocol.

OCR up to 10 pages of one caller-supplied scanned PDF locally with Poppler and Tesseract. Returns bounded text, confidence, page counts, and SHA-256 receipt; never fetches or stores the document.

Extract bounded UTF-8 text from one caller-supplied PDF locally with Poppler. Returns SHA-256 receipt and never stores or fetches the document; scanned-image OCR is not included.

Sniff PDF magic and approximate size from base64 prefix

PRIMARY path to close a Grove goal: this is the ONLY tool that covers an acceptance criterion. Attach binary evidence (screenshot, log dump, API response, export) to an AC — call it once per criterion to satisfy the close gate. The subordinate goal-add-evidence-text only adds context for proofs with NO bytes (URLs to permanent external sources, manual repro descriptions) and does NOT cover an AC. Caption is optional but strongly recommended: state what the file captures and the reproduction conditions (URL/commit/session/inputs) so a third reviewer can reproduce. ⚠ PICK THE RIGHT TRANSPORT BEFORE YOU CALL THIS TOOL ⚠ • BEST for ANY file > ~1 KB raw — and the ONLY no-token path, so use it in a claude.ai / hosted-agent session that has no raw X-Auth-Token → call the sibling MCP tool `goal-request-upload` with this same criterionId. It returns a one-time {uploadUrl, expiresAt}; then stream the raw bytes with a single PUT: `curl -sS --fail --upload-file "/abs/path/to/file.png" "<uploadUrl>"` (optionally add -H "X-Content-Sha256: <hex sha256>" so corruption fails fast). No base64, no token — the signed ?t= ticket in the URL is the only credential, single-use, criterion-scoped. The PUT response is the same evidence JSON this tool returns. • ALTERNATIVELY, if you DO have the raw X-Auth-Token in your shell → the `planner-attach.sh` helper (zero-install bash, binary-safe). The MCP base64 path below is unreliable for non-trivial files: long string arguments get truncated or whitespace-corrupted on the agent side BEFORE the JSON-RPC request is sent. Measured 2026-05-20 on prod: a 4 KB PNG arrived at the server as 1874 decoded bytes (file_hash_mismatch); a 2 KB payload arrived with stray whitespace (failed base64_decode). The server itself accepts up to 25 MiB raw — the bottleneck is the agent-side serialisation of contentBase64, NOT the server. planner-attach.sh COPY-PASTE RECIPE (replace 3 placeholders, run in your shell): curl -sS https://planner.monopoly-gold.com/api/cli/planner-attach.sh \ | PLANNER_TOKEN="<same X-Auth-Token you use for MCP>" bash -s -- \ --criterion-id "<CRITERION_UUID>" \ --file "/abs/path/to/file.png" \ --caption "what is captured and the repro conditions" \ --created-by "<your agent id>" Where to get each value: - PLANNER_TOKEN: the very same token that is already in your MCP config under the X-Auth-Token header for the `planner` server. NOT a separate credential. - CRITERION_UUID: the AC id you got from goal-get / goal-list. Same UUID you would pass to this MCP tool. - file path: absolute path on YOUR (agent) machine — the script reads it locally and streams multipart. The planner server never sees your filesystem. The helper computes SHA-256 itself and ships it as `contentSha256`, so any in-flight corruption fails fast with HTTP 400 instead of poisoning the evidence row. Output on stdout is the same JSON shape this MCP tool returns; non-zero exit means HTTP ≥ 400 (stderr explains). Without curl/bash? Fall back to raw multipart: POST https://planner.monopoly-gold.com/api/criteria/<id>/evidence/file, header X-Auth-Token, form fields file=@..., contentSha256=..., caption, createdBy. • File ≤ ~1 KB raw → this MCP tool is fine. ALWAYS pass `contentSha256` (hex SHA-256 of raw bytes BEFORE base64). Without it, a silently truncated PNG looks valid to the MIME sniffer; the server cannot distinguish a truncated 4 KB PNG from a valid 1 KB one and the vision judge burns ~30s on broken bytes. With the hash, the server fast-fails with error=file_hash_mismatch and points back here at the multipart endpoint. Validates MIME whitelist (png/jpeg/webp/gif/mp4/pdf/txt/json/zip), per-file size cap (ATTACHMENTS_MAX_FILE_BYTES, default 25 MiB), per-project attachments quota. Returns evidence record + file URL + serverSha256.

PREFERRED path to attach a LARGE binary evidence file (screenshot, log dump, PDF, session transcript — anything > ~1 KB) to an acceptance criterion. Returns a one-time {uploadUrl, expiresAt} scoped to this criterion. Then STREAM the raw file to it with a single PUT — no base64, no token: curl -sS --fail --upload-file "/abs/path/to/file.png" "<uploadUrl>" Optionally pass the hex SHA-256 of the file so the server fast-fails on any in-flight corruption: curl -sS --fail -H "X-Content-Sha256: <sha256>" --upload-file "/abs/path/to/file.png" "<uploadUrl>" The PUT response is the same evidence JSON that goal-attach-evidence returns (evidence id, serverSha256, judge verdict, criterion evidenceCount). A non-2xx PUT means the upload was rejected (expired/already-used/wrong-criterion/hash-mismatch) and NO evidence was created — request a fresh URL and retry. Use this instead of goal-attach-evidence for any non-trivial file. Use goal-add-evidence-text only for byte-less context (external URLs, manual repro notes) — it does NOT cover an AC. GOAL ATTACHMENTS (description illustrations, NOT evidence): pass goalId INSTEAD of criterionId. The PUT then creates a goal attachment and returns {attachment.url, attachment.markdown} — paste `markdown` into the goal description and the web UI renders images inline. Such a file is not bound to any AC and never counts toward closing the goal.

Attach a small file (mockup, diagram, screenshot, PDF) to a GOAL as a description attachment — NOT evidence: it is not bound to any acceptance criterion, is never judged and never counts toward closing the goal. Returns {attachment.url, attachment.markdown}; paste `markdown` into the goal description (goal-update description) and the web UI renders images inline. contentBase64 is reliable only for payloads ≤ ~1 KB (long string arguments get truncated on the agent side before the request is sent). For anything bigger call goal-request-upload with goalId and stream the file with a single PUT — same result shape, no base64.

Read attached evidence through MCP without changing its format. Pass evidenceId from goal-get. Text (text/plain, JSON, NDJSON) returns newline-preserving redacted lines; offset/limit are zero-based line pagination. Images return a native MCP image with original MIME and bytes. For a complete video, PDF, ZIP or other binary, binaryDelivery=link (default) returns a resource_link to the authenticated original download — no base64 and no conversion. If the client cannot open external links, binaryDelivery=base64 embeds the exact original bytes in a resource blob; this expands data by about 33% plus JSON overhead and can consume the client context window, so use it only when needed. byteOffset/byteLimit require binaryDelivery=base64. Text secrets are redacted; binary evidence is unmodified.

List every paper published by AIO — id, track, year, bilingual (en/ko) title and abstract, and an absolute PDF URL. All papers are CC BY 4.0; cite as "AIO — AI Integrity Organization, https://aioq.org, CC BY 4.0".

Fetch one AIO paper by id (e.g. "paper-h"), with its bilingual abstract, absolute PDF URL, and a ready-to-paste citation. CC BY 4.0.

Extract text from a PDF: url or base64 data. No OCR — text-based PDFs only.

Render a public URL or raw HTML to a PDF (returned as an embedded resource). Requires a SnapForge API key (no key? call snapforge_signup first).

Create a free SnapForge account (100 renders, one-time free trial, not a monthly allowance) with just an email address and get the API key instantly. The key is bound to the current MCP session, so the screenshot/pdf/markdown tools work immediately after signup, no browser needed.

Free discovery stub for the screenshot/PDF render lane. Same robots/SSRF guards as read_url. Currently returns a 503 (no charge) until Cloudflare Browser Rendering is provisioned on this account.

PAID (x402): returns x402 payment instructions for a PDF render of a publicly reachable URL, via a real, robots-respecting headless browser. Currently soft-skips 503 until Cloudflare Browser Rendering is provisioned.

Fetch an Anvil organization and its PDF templates (casts) and workflows (welds). Provide either its slug or its eid (at least one is required). GraphQL query: organization.

Fetch a cast — an Anvil PDF template — by its eid: title, version number, and whether it is a template. Use the returned eid as the cast_eid for anvil_fill_pdf. GraphQL query: cast.

Fill an Anvil PDF template (cast) with data and return the finished PDF as base64. REST: POST /fill/{castEid}.pdf. Returns { filename, byteLength, pdfBase64 }. The `data` object's keys are the template's field aliases.

Generate a brand-new PDF from HTML or Markdown and return it as base64. REST: POST /generate-pdf. For type=html, pass data = { html, css? }. For type=markdown, pass data = [ { label, content }, ... ]. Returns { filename, byteLength, pdfBase64 }.

Render a web page (by url) or raw html into a pdf and return it as base64 pdf data. Provide exactly one of url or html. Respects robots.txt for url input. Pass api_key if you have a pagewatch key, otherwise a free trial key is created for you and returned. url: the page to convert, optional. html: raw html to convert, optional (provide url or html, not both). api_key: an existing pagewatch bearer token, optional. paper: A4, Letter, Legal or A3. landscape: landscape orientation.

Create a pagewatch api key for yourself. Free, no signup and no human form. Returns a bearer token that starts with a small free trial so your first read_page, screenshot or pdf works right away. When the trial runs out, hand the returned verification_uri_complete to your human, who confirms one email to unlock 200 more free credits (still free, nothing to pay). Reuse the token by passing it as api_key, or set it as Authorization: Bearer <token> on this server. Nothing is ever charged: pagewatch has no payment processor connected. label: a short name for this key, optional. purpose: why you want web access, shown to your human on the activation page.

Query Xinyuanyi's signed benchmark results for FX-series storage acceleration: throughput +29-40%, TTFT -26-32% (480B model on 8x AMD MI308X), model loading 6.2-9.3x vs NFS, and the full R1-R9 report list with hosted PDF URLs. All numbers come from signed test reports; reproducible via github.com/mingxin-tech/mingxin-kvcache-bench.

Extract text + metadata from a PDF URL (text-based PDFs). (content; $0.01/call in USDC via x402, 20 free/day).

Parse an office document (docx, pptx, xlsx, pdf, odt, ods, odp, rtf, epub, csv, doc, ppt) into clean GitHub-Flavored Markdown. Provide a document URL or a local file path. Deterministic Rust converter — headings, tables, and lists preserved. No OCR: scanned/image-only PDFs are rejected. Cost: $0.005 per request.

Upload ChatGPT files and publish one public image/PDF gallery, audio post, or video post as a selected agent owned by the signed-in human. Use list_my_agents first. Image/PDF galleries support up to eight files; audio and video posts require exactly one matching file. Temporary file URLs are accepted only through ChatGPT file handoff and are never returned or persisted by this connector. Call only after the user confirms the exact agent, category, files, title, body, tags, alt text, and optional karma reward.

List a government's adopted plan and budget documents. Each entry carries `covers` — every general-plan element that document answers for. A city that publishes one bound general plan satisfies all eight with the same PDF, so do not conclude an element is unpublished because no entry is named after it. `status` says what the entry offers: `converted` is searchable and readable; `superseded` is a retired edition, still stored but not searchable; and **`failed` means we hold this document and could not read it — it is not evidence the city published nothing.** Cite `source_url` in that case; it is always the city's own copy. An `availability` block appears ONLY when something is wrong with a document, and `availability.reason` says what. No `availability` key means there is nothing to report.

Extract a public PDF (by HTTPS URL or base64) into clean markdown text, plus title/author/page count/date metadata and a real token count. Deterministic text extraction, no model involved. Try GET /pdf/sample. Part of the AgentIndex content kit (pdf, web-read, extract, summarize, detect-language) - see GET /capabilities.

Fetch a URL and return its main article as clean markdown - navigation, ads and boilerplate stripped, links resolved, plus a real token count. The same extraction /search uses on result pages, exposed standalone for a URL you already have. Try GET /web-read/sample. Part of the AgentIndex content kit (pdf, web-read, extract, summarize, detect-language) - see GET /capabilities.

Extract structured data from a URL or raw text into strict JSON matching a schema you provide. Fields the content doesn't support come back null - never an invented or approximate value, and an unmatchable schema returns an explicit error. Try GET /extract/sample. Part of the AgentIndex content kit (pdf, web-read, extract, summarize, detect-language) - see GET /capabilities.

Summarize a URL, raw text or HTML at the length you request - short, medium or long - with the source noted. Neutral and factual, no invented facts. Try GET /summarize/sample. Part of the AgentIndex content kit (pdf, web-read, extract, summarize, detect-language) - see GET /capabilities.

Detect the language of a piece of text - free, no payment. The kit's entry point: read_pdf, read_web_page, extract_structured and summarize do the same kind of work, paid.

List the language versions and manifestations (XML, PDF) of one consolidation: use before reading to see whether a Fassung is PDF-only. norm.

Screening de un nombre o entidad contra listas de sanciones internacionales (OFAC, UE, UK, Canada), personas expuestas politicamente (PEP de los paises con servicio: MX, BR, CO, AR, DO, CA, US) y listas nacionales (Mexico, Brasil, Colombia, Argentina, R. Dominicana). Envia 'name'; opcional 'country' (ISO, p.ej. MX) y 'tax_id' para el cruce nacional; 'certificate'=true para recibir una constancia PDF (base64). Devuelve coincidencias con puntaje 0-100 y un registro por cada lista consultada (limpia o con hits). Cuesta SCREEN. Es evidencia, no una certificacion de cumplimiento: un resultado 'sin coincidencias' no exime del deber de debida diligencia.

Extract text from a PDF URL.

Ingest URL/PDF/YouTube → markdown.

PDF metadata without full extract

Extract PDF page range text

List tool chain recipes (PDF, web, OCR, video, …).

Send a document for e-signature. Accepts PDF as base64, recipients, and field placement. Sandbox keys (sk_test_) send immediately (watermarked test mail). LIVE keys create a DRAFT and return it for human review unless confirm: true — nothing is emailed until confirmed. Field placement: page+x+y (percent, top-left origin) OR an anchor string, not both. After everyone signs, retrieve the sealed PDF with swiftsign_download_signed_pdf.

Download the completed, sealed PDF (or its Certificate of Completion) for an envelope. Only works once status is COMPLETED — run swiftsign_check_status first. Does NOT work on DRAFT or SENT envelopes; nothing has been signed yet on those.

List what can be printed: SKUs (storybook books, sticker-a3 wall charts, greeting-card-a5 folded cards), formats, supported trim sizes, page-count limits, prices (INR, shipping included), and shipping coverage (India only). Call this first to quote a price or check whether a PDF will be accepted.

Start a PDF upload. Returns {upload_id, put_url, expires_at, max_bytes}. HTTP PUT the raw PDF bytes to put_url (Content-Type: application/pdf, no auth needed — the URL is signed). The PUT response includes the validation report. Then pass upload_id to create_order. Keyless use is bounded per calling origin: 20 create_upload calls per hour, at most 5 unused uploads open at a time, and put_url expires in 2 hours — so PUT the bytes promptly and reuse an upload_id you already hold instead of creating extras. An API key (see apply_enterprise) lifts both limits.

Get the print-validation report for an uploaded PDF before paying: page count, trim size, hard errors (blocking) and soft warnings (non-blocking). Every error includes a `resolution` explaining how to fix it. Free to call; use it to check printability before create_order.

Send a fax to a US or Canada phone number. Accepts PDF, DOC, DOCX, JPG, JPEG, TXT files (max 10) as base64-encoded content.