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Fetch and convert a Microsoft Learn documentation webpage to markdown format. This tool retrieves the latest complete content of Microsoft documentation webpages including Azure, .NET, Microsoft 365, and other Microsoft technologies. ## When to Use This Tool - When search results provide incomplete information or truncated content - When you need complete step-by-step procedures or tutorials - When you need troubleshooting sections, prerequisites, or detailed explanations - When search results reference a specific page that seems highly relevant - For comprehensive guides that require full context ## Usage Pattern Use this tool AFTER microsoft_docs_search when you identify specific high-value pages that need complete content. The search tool gives you an overview; this tool gives you the complete picture. ## URL Requirements - The URL must be a valid HTML documentation webpage from the microsoft.com domain - Binary files (PDF, DOCX, images, etc.) are not supported ## Output Format markdown with headings, code blocks, tables, and links preserved.

Publish a post to the caller's blog. For anything meant to be read later by other people — notes, write-ups, announcements. For a private note to yourself, prefer files or memory

Delete a file you own

Read a stored file back by its id

List the caller's stored files, newest first

Store a file and get a URL for it — a report, a CSV, a transcript

Make a file readable by anyone with its URL, or private again

Retrieves full documentation content for Svelte 5 or SvelteKit sections. Supports flexible search by title (e.g., "$state", "routing") or file path (e.g., "cli/overview"). Can accept a single section name or an array of sections. Before running this, make sure to analyze the users query, as well as the output from list-sections (which should be called first). Then ask for ALL relevant sections the user might require. For example, if the user asks to build anything interactive, you will need to fetch all relevant runes, and so on. Before calling this tool, try to implement Svelte components using your own knowledge and the `svelte-autofixer` tool, since calling this tool is token intensive.

Lists all available Svelte 5 and SvelteKit documentation sections in a structured format. Each section includes a "use_cases" field that describes WHEN this documentation would be useful. You should carefully analyze the use_cases field to determine which sections are relevant for the user's query. The use_cases contain comma-separated keywords describing project types (e.g., "e-commerce", "blog"), features (e.g., "authentication", "forms"), components (e.g., "slider", "modal"), development stages (e.g., "deployment", "testing"), or "always" for fundamental concepts. Match these use_cases against the user's intent - for example, if building an e-commerce site, fetch sections with use_cases containing "e-commerce", "product listings", "shopping cart", etc. If building a slider, look for "slider", "carousel", "animation", etc. Returns sections as "* title: [section_title], use_cases: [use_cases], path: [file_path]". Always run list-sections FIRST for any Svelte query, then analyze ALL use_cases to identify relevant sections, and finally use get_documentation to fetch ALL relevant sections at once.

Generates a Playground link given a Svelte code snippet. Once you have the final version of the code you want to send to the user, ALWAYS ask the user if it wants a playground link to allow it to quickly check the code in the playground before calling this tool. NEVER use this tool if you have written the component to a file in the user project. The playground accept multiple files so if are importing from other files just include them all at the root level.

Generate production sysctl.conf, limits.conf, systemd overrides, and Docker/K8s configs tuned for high-concurrency JMeter load testing (fixing ulimit nofile, BindException port exhaustion, somaxconn backlog, and JVM swappiness).

Get the coding conventions Moxie inferred for the repository. Read-only; no side effects. Returns a Markdown list grouped by category (e.g. testing, structure, docs, review); each convention has a title, summary, confidence score, agent guidance, and the source file paths that evidence it. Use this for the general rules to follow; when you already know the files you're about to edit, prefer moxie.get_doc_impact for conventions scoped to those paths.

List the unresolved documentation gaps Moxie found - areas of the codebase that lack docs. Read-only; no side effects. Returns a Markdown list, each gap with a title, severity, summary, and suggested file paths. This is gaps only; for the full prioritized work queue that also includes drift repairs and PR-template work, use get_documentation_opportunities, and to scope gaps to files you're about to edit use get_doc_impact.

List the actionable documentation updates Moxie recommends as a prioritized queue: missing docs, drift repairs, and PR-template work. Read-only; no side effects. Returns a Markdown list, each opportunity with a title, kind (documentation_gap | documentation_drift | pr_template), severity, summary, suggested action, estimated files changed, and source paths. Use this to pick the next doc task; it is the superset of get_doc_gaps (which lists gaps only).

Get the compact briefing an agent should read before editing this repository: index status, verified commands, agent tips, top conventions, open documentation gaps, and queued documentation opportunities. Read-only; no side effects. Returns a single Markdown document. Call this first at the start of a task; once you know which files you'll change, follow up with get_doc_impact for path-scoped guidance.

Given the file paths an agent is about to change (and optionally a subset being deleted), return the conventions, documentation gaps, and existing/related docs whose evidence overlaps those paths, plus a net-new/undocumented analysis and any removal candidates. Read-only; no side effects. Returns a Markdown report. Call this BEFORE writing code so doc updates land in the same PR; then use propose_doc_update to write a doc, or propose_doc_removal for an orphaned one.

Given file paths an agent is about to touch, return structured context for any API endpoints they map to: method, path, request/response schema, and known consumers/features. Read-only; no side effects. Call this before editing API route or schema code, alongside get_doc_impact.

[Requires authentication] Call the authenticate tool first to start or confirm 1inch Business login (initialize 200 is still anonymous). If authenticate or this tool returns HTTP 401, complete OAuth, then retry. Call any 1inch product API endpoint using the authenticated user's credentials (base URL is the unified gateway, e.g. https://api.1inch.com). Call authenticate first. Anonymous sessions get HTTP 401 (OAuth), not x402. After a real org login, quota-exhausted routes may return a PaymentRequired tool result; retry with a signed payment in _meta["x402/payment"] (batch-settlement scheme only — see file://1inch-mcp/guides/x402-payments). Do not treat PaymentRequired as login. Optional: if your client can read MCP resources, file://1inch-mcp/guides/api-index has live Swagger links and extra gateway notes (mirrors business.1inch.com/portal/llms.txt). Common chain IDs: Ethereum=1, BNB=56, Polygon=137, Arbitrum=42161, Optimism=10, Base=8453, Avalanche=43114, Gnosis=100, zkSync=324, Linea=59144, Sonic=146, Unichain=130, Cronos=25, Monad=10143, Solana=501 (where applicable). Gateway products (use these path prefixes with this tool): - Portfolio: /portfolio/portfolio/v5.0/... — example path="/portfolio/portfolio/v5.0/general/current_value", query={"addresses":"0x..."}; token metrics path="/portfolio/portfolio/v5.0/tokens/metrics", query={"addresses":"0x...","timerange":"1year"} - Balance: /balance/v1.2/{chainId}/... — example path="/balance/v1.2/1/balances/0x..." - Spot Price: /price/v1.1/{chainId} — example path="/price/v1.1/1", method="POST", body={"tokens":["0x..."],"currency":"USD"} - Token: /token/v1.4/{chainId}/... — example path="/token/v1.4/1/search", query={"query":"USDC"} (prefer v1.4; older v1.2 chain search is deprecated in OpenAPI) - Token Details: /token-details/v1.0/details/{chain}/{tokenAddress} — example path="/token-details/v1.0/details/1/0xA0b86991c6218b36c1d19D4a2e9Eb0cE3606eB48" - Gas Price: /gas-price/v1.6/{chainId} — example path="/gas-price/v1.6/1" - Swap (Classic): /swap/v6.1/{chainId}/... — example path="/swap/v6.1/1/quote", query={"src":"0x...","dst":"0x...","amount":"..."} (exact query names per OpenAPI) - Orderbook: /orderbook/v4.1/{chainId}/... — example path="/orderbook/v4.1/1/all", query={"page":"1","limit":"10"} - Fusion (Intent): /fusion/orders/v2.0/..., /fusion/quoter/v2.0/..., /fusion/relayer/v2.0/... — example path="/fusion/quoter/v2.0/1/quote/receive" with required query params from spec - Fusion+ (Cross-chain): /fusion-plus/orders/..., /fusion-plus/quoter/..., /fusion-plus/relayer/... — example path="/fusion-plus/quoter/v1.2/quote/receive" with required params; equivalent routes also exist under /cross-chain/orders|quoter|relayer - History: /history/v2.0/history/{address}/events — example path="/history/v2.0/history/0x.../events", query={"chainId":"1","limit":"50","tokenAddress":"0x..."} (optional tokenAddress filters by contract; response shape uses items[].details.txHash — not raw event logs) - Traces: /traces/v1.0/chain/{chainId}/block-trace/{blockNumber}/tx-hash/{txHash} — example path="/traces/v1.0/chain/1/block-trace/18000000/tx-hash/0x..." (not /transaction/{hash}) - NFT: /nft/v2/... — example path="/nft/v2/byaddress", query={"chainIds":"1","address":"0x..."} - Charts: /charts/v1.0/chart/line/{token0}/{token1}/{period}/{chainId} — example path="/charts/v1.0/chart/line/0x.../0x.../24H/1" (period: 24H, 1W, 1M, 1Y, AllTime; not a separate timerange query) - Domains: /domains/... — example path="/domains/v2.0/lookup", query={"name":"vitalik.eth"} - Aqua (strategy analytics): /aqua/v1.0/strategies/... — example path="/aqua/v1.0/strategies/opened", query={"limit":"100"}; maker stats path="/aqua/v1.0/strategies/makers/0x.../stats". Prefer the dedicated "aqua" tool when Unleash flag mcp-service.tool.aqua is enabled; otherwise use product_api for raw HTTP. - Tx Gateway: /tx-gateway/... — example path="/tx-gateway/v1.1/1/broadcast", method="POST", body={...} - Web3 RPC: /web3/{chainId}/... — JSON-RPC over HTTP POST to an EVM (or Solana 501) node; Gateway exposes e.g. 1,10,25,56,100,130,137,143,146,324,501,8453,42161,43114,59144 — confirm availability for your org/plan. Example path="/web3/1", method="POST", body={"jsonrpc":"2.0","id":1,"method":"eth_blockNumber","params":[]} Gotchas: Portfolio gateway path repeats "portfolio" (/portfolio/portfolio/v5.0/...) because the gateway strips the first segment. Spot Price returns WEI in native currency unless you set currency. Token list responses are large; prefer search. Token Details does not support native ETH pseudo-address 0xeeee...eeee; use WETH. Balance responses may include zero balances—filter client-side. For limit order flows (build, sign, create, cancel), prefer the "orderbook" tool. For swap execution, prefer the "swap" tool. Use product_api for direct REST access to any endpoint.

Query the 1inch Aqua API (v1.0) — analytics for Aqua strategies (shared-liquidity market making): maker stats, strategy lists, overview, activity, and volume series. Read-only. No OAuth required. REQUIRED: "action" — read actions (no OAuth): maker_stats, list_maker_strategies, strategy_overview, strategy_activity, strategy_volume, list_opened. Read the resource file://1inch-mcp/guides/aqua-workflow for per-action examples, priceRange semantics, and maker/taker flows. Raw HTTP: product_api with path "/aqua/v1.0/strategies/...".

Search nifra's framework documentation and get back ONLY the matching sections - auth, uploads, ISR, WebSockets, loaders, deployment, anything. Call with no query for the cheap section index; pass query (e.g. "isr revalidate") for the top matching sections. Use this instead of reading llms-full.txt (~150 KB) whole. For the EXACT TypeScript of a type/interface/function, call nifra_types instead (don't read .d.ts files).

Get a VERIFIED, copy-pasteable nifra code example for a task - auth route, file upload, ISR page, loader/action, typed client, SSE, deployment, etc. Every snippet is typechecked against the installed nifra version, so it compiles as-is. PREFER THIS over writing nifra code from memory (training data drifts). Returns code as TEXT for direct use; to visually browse the whole example set instead, use nifra_gallery. Call with no query for the grouped index; pass query (e.g. "protected route", "upload", "isr revalidate") for matching snippets.

READ-ONLY: returns generated source code as text and writes nothing to disk, creates no project and runs no command. Generates an idiomatic @imqueue/rpc service (an IMQService subclass with @expose()d, JSDoc-typed methods) plus a bootstrap that starts it. Provide the methods you want, or omit them for a starter template. Any non-primitive parameter or return type also gets a types.ts with the required @classType()/@property() declarations — without those the generated client types it `any`, which compiles. Use create_service (local install only) if you want files actually written.

READ-ONLY: returns text and writes nothing to disk, and does NOT run the command it shows you. Explains how to generate and use the fully-typed client for an @imqueue service: @imqueue generates the real client from a running service via `imq client generate`, so this returns that exact command plus an illustrative usage snippet. The generated file exports a single namespace holding the client class, so the import shape is not the obvious one — take it from `namespace` rather than guessing. Use generate_client (local install only) if you want the command actually run.

Return the setup instructions for running the full @imqueue MCP server on your own machine. The local server adds the CLI-backed tools, which act on your project files and running services and so cannot be offered by a hosted server. Returns instructions only — it installs nothing.

Generate one random RFC 4122 version 4 UUID. Use it when you need an identifier that will not collide with anything else - an idempotency key, a correlation id across systems, a filename - rather than inventing a string yourself, which is not random and tends to repeat across runs. Takes no parameters and returns a single lowercase hyphenated UUID. No API key, no account and no sign up: call it directly.

Put any JSON value somewhere another process can fetch it, and get back a storage_id plus a public read_url. Use it to hand a result to a different agent, a script, a webhook receiver or a later run, when there is no shared filesystem and no database between you. No API key, no account and no sign up: call it directly. Anyone holding the URL can read it, so never store secrets, credentials or personal data. The value disappears 24 hours after it is written. Read it back with read_temporary_data, passing the storage_id.

Search across the Cerebrium knowledge base to find relevant information, code examples, API references, and guides. Use this tool when you need to answer questions about Cerebrium, find specific documentation, understand how features work, or locate implementation details. The search returns contextual content with titles and direct links to the documentation pages. If you need the full content of a specific page, use the query_docs_filesystem tool to `head` or `cat` the page path (append `.mdx` to the path returned from search — e.g. `head -200 /api-reference/create-customer.mdx`).

Run a read-only shell-like query against a virtualized, in-memory filesystem rooted at `/` that contains ONLY the Cerebrium documentation pages and OpenAPI specs. This is NOT a shell on any real machine — nothing runs on the user's computer, the server host, or any network. The filesystem is a sandbox backed by documentation chunks. This is how you read documentation pages: there is no separate "get page" tool. To read a page, pass its `.mdx` path (e.g. `/quickstart.mdx`, `/api-reference/create-customer.mdx`) to `head` or `cat`. To search the docs with exact keyword or regex matches, use `rg`. To understand the docs structure, use `tree` or `ls`. **Workflow:** Start with the search tool for broad or conceptual queries like "how to authenticate" or "rate limiting". Use this tool when you need exact keyword/regex matching, structural exploration, or to read the full content of a specific page by path. Supported commands: rg (ripgrep), grep, find, tree, ls, cat, head, tail, stat, wc, sort, uniq, cut, sed, awk, jq, plus basic text utilities. No writes, no network, no process control. Run `--help` on any command for usage. Each call is STATELESS: the working directory always resets to `/` and no shell variables, aliases, or history carry over between calls. If you need to operate in a subdirectory, chain commands in one call with `&&` or pass absolute paths (e.g., `cd /api-reference && ls` or `ls /api-reference`). Do NOT assume that `cd` in one call affects the next call. Examples: - `tree / -L 2` — see the top-level directory layout - `rg -il "rate limit" /` — find all files mentioning "rate limit" - `rg -C 3 "apiKey" /api-reference/` — show matches with 3 lines of context around each hit - `head -80 /quickstart.mdx` — read the top 80 lines of a specific page - `head -80 /quickstart.mdx /installation.mdx /guides/first-deploy.mdx` — read multiple pages in one call - `cat /api-reference/create-customer.mdx` — read a full page when you need everything - `cat /openapi/spec.json | jq '.paths | keys'` — list OpenAPI endpoints Output is truncated to 30KB per call. Prefer targeted `rg -C` or `head -N` over broad `cat` on large files. To read only the relevant sections of a large file, use `rg -C 3 "pattern" /path/file.mdx`. Batch multiple file reads into a single `head` or `cat` call whenever possible. When referencing pages in your response to the user, convert filesystem paths to URL paths by removing the `.mdx` extension. For example, `/quickstart.mdx` becomes `/quickstart` and `/api-reference/overview.mdx` becomes `/api-reference/overview`.

Public profile of a member (handle, karma, credits, recent activity).

Verify SvGrid code BEFORE handing it to the user. Checks the source against the real exported surface of the current version - <SvGrid> prop names, ColumnDef keys, grid API methods, importable symbols and theme files - plus Svelte 5 runes rules, and returns line-numbered diagnostics with the exact replacement for each. Run it on every file you write that uses SvGrid, fix what it reports, and run it again.

The full source code (core only) of the HMR library. Always call `learn-hmr-concepts` to learn the core concepts before calling this tool. These files are the full source code of the HMR library, which would be very helpful because good code are self-documented. For a brief and concise explanation, please refer to the `hmr-docs://about` MCP resource. Make sure you've read it before calling this tool. To learn how to use HMR for reactive programming, read the unit tests later. The response is identical to the MCP resource with the same name. Only use it once and prefer this tool to that resource if you can choose.

The unit tests (code examples) for HMR. Always call `learn-hmr-basics` and `view-hmr-core-sources` to learn the core functionality before calling this tool. These files are the unit tests for the HMR library, which demonstrate the best practices and common coding patterns of using the library. You should use this tool when you need to write some code using the HMR library (maybe for reactive programming or implementing some integration). The response is identical to the MCP resource with the same name. Only use it once and prefer this tool to that resource if you can choose.

Saves an email to the Mail.app Drafts folder for the user to review and send manually — it never sends. Compose a new draft with `to`/`subject` and `body` or `html_body`, or save a native reply with `reply_to_message_id`, `reply_all`, and `body` or `html_body`; the response names the Drafts mailbox and subject. A reply draft's response includes `threaded`: true means the saved draft was read back and its headers reference the source message (it will appear inside the conversation); false means it saved WITHOUT threading headers (relay the warning to the user); "unconfirmed" means it could not be read back in time (e.g. Exchange sync lag). On a multi-account Mac, pass `account` (an account name from list_email_accounts) or `from` (a sender address) to place the draft in that account's Drafts; otherwise it lands in the default account. Attach files by passing `attachments` (comma-separated absolute file paths, e.g. a PDF quote) — they are attached to the saved draft. Use this for the cautious user who wants AI-composed mail but insists on sending it themselves. Requires confirm=true to actually save it — without it, returns a preview without touching Mail.app.

Creates a new Excel spreadsheet (.xlsx file) with headers and optional data rows. JSON numbers (integers and decimals) are written as numbers, so SUM() and charts work on them; JSON strings always stay text even when they look numeric ("007", "1e3", or " 42"), as do integer values longer than 10 digits because they are identifiers like a CUIT, CBU or phone number rather than quantities.

Reads data from an Excel spreadsheet (.xlsx file). Returns the first row as `headers` and the remaining data rows as `rows` — mirroring excel_create's `headers`/`rows` params, so a read→create round-trip needs no manual row-0 handling.

Writes a value to a specific cell in an Excel file. Numeric-looking value strings are written as numbers only when they round-trip exactly; otherwise they stay text. Address the cell either with `cell` in A1 notation (e.g. "B2") or with `row`+`column` as 1-based integers.

Lists files and folders in a local directory. Defaults to the user's home directory. Returns name, path, type (file/directory), size, and modification date for each item. Sorted: directories first, then files, both alphabetically.

Reads a plain text file from the local filesystem by its absolute path — the primary, default tool for reading a local text file (use this unless the file is a PDF, Word, Excel, or PowerPoint document, which have their own readers). The path must be inside an allowed folder — the same allowlist as file_write (the home directory by default; extend via Settings → Advanced → Allowed folders). A path outside the allowlist returns an actionable 'access denied' naming the allowed folders. Supports .txt, .md, .csv, .json, .xml, .log, .yaml, .toml and common code file types; auto-detects UTF-8 with Latin-1/Windows-1252 fallback. For files in OneDrive use onedrive_read_file, in Google Drive gdrive_read_file; for PDFs pdf_read, Word word_read, Excel excel_read.

Share a markdown file and get a public URL. Returns an edit token that can be used later to update or delete the share.

Markdown → styled PDF. Send markdown text or a URL to a .md file, get a print-ready PDF back.

Markdown → standalone styled HTML page (single file, inline CSS).

Convert a transaction CSV into a .qbo / OFX bank-feed file that QuickBooks and similar accounting software import directly. Needs date, description and amount columns (or debit + credit). Pairs with extract_statement: statement PDF in, importable bank feed out.

Fetch an audio file from a URL and transcribe it to text with open-source Whisper (100 languages, self-hosted). Good for voice memos, podcast clips and meeting recordings up to ~15 MB. Example — GET https://ainetcafe.com/t/transcribe_audio?url=<public-audio-url>

Turn a topic or an outline into a real downloadable .pptx file — not a link into someone's web editor. Returns a job_id; poll check_job for the download URL. Usually 1-3 minutes. Powered by Presenton (open source) hosted at AI NetCafé. Example — tools/call make_slides {"topic":"Q3 review","slides":8} → poll check_job

Search across the DarkFunnels knowledge base to find relevant information, code examples, API references, and guides. Use this tool when you need to answer questions about DarkFunnels, find specific documentation, understand how features work, or locate implementation details. The search returns contextual content with titles and direct links to the documentation pages. If you need the full content of a specific page, use the query_docs_filesystem tool to `head` or `cat` the page path (append `.mdx` to the path returned from search — e.g. `head -200 /api-reference/create-customer.mdx`).

Run a read-only shell-like query against a virtualized, in-memory filesystem rooted at `/` that contains ONLY the DarkFunnels documentation pages and OpenAPI specs. This is NOT a shell on any real machine — nothing runs on the user's computer, the server host, or any network. The filesystem is a sandbox backed by documentation chunks. This is how you read documentation pages: there is no separate "get page" tool. To read a page, pass its `.mdx` path (e.g. `/quickstart.mdx`, `/api-reference/create-customer.mdx`) to `head` or `cat`. To search the docs with exact keyword or regex matches, use `rg`. To understand the docs structure, use `tree` or `ls`. **Workflow:** Start with the search tool for broad or conceptual queries like "how to authenticate" or "rate limiting". Use this tool when you need exact keyword/regex matching, structural exploration, or to read the full content of a specific page by path. Supported commands: rg (ripgrep), grep, find, tree, ls, cat, head, tail, stat, wc, sort, uniq, cut, sed, awk, jq, plus basic text utilities. No writes, no network, no process control. Run `--help` on any command for usage. Each call is STATELESS: the working directory always resets to `/` and no shell variables, aliases, or history carry over between calls. If you need to operate in a subdirectory, chain commands in one call with `&&` or pass absolute paths (e.g., `cd /api-reference && ls` or `ls /api-reference`). Do NOT assume that `cd` in one call affects the next call. Examples: - `tree / -L 2` — see the top-level directory layout - `rg -il "rate limit" /` — find all files mentioning "rate limit" - `rg -C 3 "apiKey" /api-reference/` — show matches with 3 lines of context around each hit - `head -80 /quickstart.mdx` — read the top 80 lines of a specific page - `head -80 /quickstart.mdx /installation.mdx /guides/first-deploy.mdx` — read multiple pages in one call - `cat /api-reference/create-customer.mdx` — read a full page when you need everything - `cat /openapi/spec.json | jq '.paths | keys'` — list OpenAPI endpoints Output is truncated to 30KB per call. Prefer targeted `rg -C` or `head -N` over broad `cat` on large files. To read only the relevant sections of a large file, use `rg -C 3 "pattern" /path/file.mdx`. Batch multiple file reads into a single `head` or `cat` call whenever possible. When referencing pages in your response to the user, convert filesystem paths to URL paths by removing the `.mdx` extension. For example, `/quickstart.mdx` becomes `/quickstart` and `/api-reference/overview.mdx` becomes `/api-reference/overview`.

Search across the SiteGPT Docs knowledge base to find relevant information, code examples, API references, and guides. Use this tool when you need to answer questions about SiteGPT Docs, find specific documentation, understand how features work, or locate implementation details. The search returns contextual content with titles and direct links to the documentation pages. If you need the full content of a specific page, use the query_docs_filesystem tool to `head` or `cat` the page path (append `.mdx` to the path returned from search — e.g. `head -200 /api-reference/create-customer.mdx`).

Run a read-only shell-like query against a virtualized, in-memory filesystem rooted at `/` that contains ONLY the SiteGPT Docs documentation pages and OpenAPI specs. This is NOT a shell on any real machine — nothing runs on the user's computer, the server host, or any network. The filesystem is a sandbox backed by documentation chunks. This is how you read documentation pages: there is no separate "get page" tool. To read a page, pass its `.mdx` path (e.g. `/quickstart.mdx`, `/api-reference/create-customer.mdx`) to `head` or `cat`. To search the docs with exact keyword or regex matches, use `rg`. To understand the docs structure, use `tree` or `ls`. **Workflow:** Start with the search tool for broad or conceptual queries like "how to authenticate" or "rate limiting". Use this tool when you need exact keyword/regex matching, structural exploration, or to read the full content of a specific page by path. Supported commands: rg (ripgrep), grep, find, tree, ls, cat, head, tail, stat, wc, sort, uniq, cut, sed, awk, jq, plus basic text utilities. No writes, no network, no process control. Run `--help` on any command for usage. Each call is STATELESS: the working directory always resets to `/` and no shell variables, aliases, or history carry over between calls. If you need to operate in a subdirectory, chain commands in one call with `&&` or pass absolute paths (e.g., `cd /api-reference && ls` or `ls /api-reference`). Do NOT assume that `cd` in one call affects the next call. Examples: - `tree / -L 2` — see the top-level directory layout - `rg -il "rate limit" /` — find all files mentioning "rate limit" - `rg -C 3 "apiKey" /api-reference/` — show matches with 3 lines of context around each hit - `head -80 /quickstart.mdx` — read the top 80 lines of a specific page - `head -80 /quickstart.mdx /installation.mdx /guides/first-deploy.mdx` — read multiple pages in one call - `cat /api-reference/create-customer.mdx` — read a full page when you need everything - `cat /openapi/spec.json | jq '.paths | keys'` — list OpenAPI endpoints Output is truncated to 30KB per call. Prefer targeted `rg -C` or `head -N` over broad `cat` on large files. To read only the relevant sections of a large file, use `rg -C 3 "pattern" /path/file.mdx`. Batch multiple file reads into a single `head` or `cat` call whenever possible. When referencing pages in your response to the user, convert filesystem paths to URL paths by removing the `.mdx` extension. For example, `/quickstart.mdx` becomes `/quickstart` and `/api-reference/overview.mdx` becomes `/api-reference/overview`.

Check whether a path looks safe. No disk access.

Parse a Figma file URL. Path discarded.

Check whether a path looks safe. No disk access.

Parse a Figma file URL. Path discarded.

Check whether a path looks safe. No disk access.

Parse a Figma file URL. Path discarded.

Check whether a path looks safe. No disk access.

Parse a Figma file URL. Path discarded.

Raise an actionable issue against the documentation (wrong instructions, broken example, outdated page). Files a GitHub issue on nyuchi/nyuchi-docs when configured, otherwise queues it for the docs team.

Use this when the user asks to attach a JPEG, PNG, or WebP image to an existing Familia task or plan. Provide either dataUrl or base64Data plus mimeType. Do not use for non-image files.

Search the indexed embedded / firmware / hardware reference corpus; return verbatim, page-cited evidence. The indexed corpus covers: grid-interconnection & DER standards (IEEE 1547 / 1547.1 / 2030.5, SunSpec Modbus profiles, ENA G98/G99 and other grid codes); industrial & fieldbus protocols (Modbus, CAN / ISO-TP, MQTT); SCPI instrument-programming manuals (power analysers, grid simulators, programmable AC sources); Arm Cortex-M and other MCU / hardware datasheets (registers, bitfields, reset values); FPGA transceivers, silicon & toolchain (AMD/Xilinx UltraScale GTH/GTY/GTM and 7-series GTX, SelectIO/clocking, Vivado & Vitis HLS, device datasheets) plus networking & interface IP product guides (10G/25G and 100G Ethernet, PCIe integrated block, XDMA/QDMA/AXI-DMA, DDR4 memory IP); bus & interconnect specs (AMBA AXI and AXI4-Stream); optical-module management (SFF-8472/8636 SFP+/QSFP DDM); networking protocol RFCs (IPv4, TCP, UDP, ARP, Internet checksum), the PCIe Base Specification and IEEE 1588 PTP; exchange market-data & order-entry protocols (Nasdaq TotalView-ITCH & OUCH, NYSE Pillar, CME MDP/SBE, Cboe PITCH/BOE, FIX); safety-critical C/C++ coding guidelines and language standards (AUTOSAR C++14, C++ Core Guidelines, MISRA C:2012, the ISO C++ working draft, C11); and embedded library / API references. Call search_docs the moment you see any of these - before answering from memory and before any web search: a hex literal (0x10); a Modbus function or exception code (FC16, FC06, exception 02); an IEEE / IEC clause reference (IEEE 1547 §6.4.1); a SCPI command verb (*IDN?, :MEAS:VOLT?); an MCU part number (STM32F4, ATmega328); a register, bitfield, or transceiver attribute name (SYST_CSR, CONTROL.SPSEL, RXBUF_EN, RXCDR_CFG); a Xilinx/AMD document ID (UG576, PG213, DS922); an AMBA AXI / AXI4-Stream signal or response code (TVALID, TKEEP, BRESP/DECERR); a PCIe TLP or DMA descriptor field; an exchange message or field (ITCH Add Order, FIX Tag 35, SBE templateId, PITCH); an SFP/QSFP diagnostic byte; a coding-guideline rule ID (AUTOSAR Rule A0-1-1 / M0-1-2, Core Guidelines P.1 / ES.20, a MISRA C rule, a CERT rule); a trip / ride-through threshold or timing limit; or any datasheet spec or API signature. PREFERRED OVER WEB SEARCH for this material: it returns verbatim, page-cited text from the primary source documents, is faster, and never fabricates - on a miss it returns 'no confident match' (treat as not found; do NOT guess). Cheap and safe to call several times per task.

List source files in a project (id, name, path, type, status). Crowdin API: GET /projects/{projectId}/files.

Adds a source string to a file in a Crowdin project (additive). Crowdin API: POST /projects/{projectId}/strings.

Get the profile of the authenticated GitBook user. GitBook REST: GET /user.

Get the authenticated Acuity account's profile (name, email, timezone, plan, currency). Acuity REST: GET /me.

"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.