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442,769 tools. Updated 2026-08-11 09:41

"A search for document resources or documentation" matching MCP tools:

  • Purpose: ChatGPT-connector-standard document fetch by id from `search` results. Namespaces: `tool:{name}` returns the tool's full documentation and how to call it; `resource:{uri}` returns the resource's live data (core resources resolved server-side — also the bridge for clients without MCP resource support, e.g. Gemini); `signal:{market}:{symbol}` returns the symbol's latest combined research signal. Triggers: ChatGPT connectors / Deep Research call this after `search`. Clients without MCP resource support can call it directly with a known resource id, e.g. fetch("resource:market://global/summary"). When to call: whenever the full content behind a search result id is needed. Prerequisites: a valid id — from `search` results or a known namespace id. Next steps: for tool docs, call the named tool via tools/call; for signals, get_signal_detail / explain_decision for deeper evidence. Caveats: uncovered resource uris return description-only text (no fabricated data). `text` is a JSON document for resource/signal ids. Output: {id, title, text, url, metadata, disclaimer, is_investment_advice, data_classification} — flat envelope, OpenAI fixed shape. Args: id: document id — "tool:{name}", "resource:{uri}", or "signal:{market}:{symbol}" (market: crypto / kr_stock / us_stock) Disclaimer: Information only, not investment advice.
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  • Purpose: ChatGPT-connector-standard discovery search over OneQAZ's live surface — tools, resources, and the latest strong combined signals across crypto / kr_stock / us_stock. Returns result ids consumable by the `fetch` tool. Triggers: ChatGPT connectors and Deep Research call this automatically for any user query routed to OneQAZ ("bitcoin signal", "prediction accuracy", "korean stocks today", ...). Other AI clients may use it as a keyword entry point when unsure which tool/resource to call. When to call: first step of connector-style discovery. MCP-native clients can instead browse tools/list + resources/list directly. Prerequisites: none. Next steps: pass any result id to `fetch` for the full document. Caveats: corpus is rebuilt at most every 10 minutes (tool/resource catalog + top-20 strong signals per market). Empty results list means no match. Output: {results: [{id, title, url}], disclaimer, is_investment_advice, data_classification} — flat envelope, OpenAI fixed shape. Args: query: free-text search string (English/Korean, symbols like BTC/AAPL) Disclaimer: Information only, not investment advice.
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  • Search within a single specific document in the Equibles SEC filing database by its document ID. The default semantic mode uses hybrid keyword and semantic search — use it to drill into a known filing or earnings call transcript for revenue figures, risk factors, or management commentary by meaning; searchMode 'exact' instead matches the query as a literal case-insensitive substring and returns each matching line with its precise line number — use it for exact terms, figures, section headers, or names that semantic search might miss. The document ID comes from ListCompanyDocuments or from the '(ID: ...)' header of SearchDocuments/SearchCompanyDocuments results. Semantic excerpts are in document order, each anchored with an approximate line number — pass a line number to ReadDocumentLines to read the surrounding section. You MUST call this or another Equibles tool to access any SEC filing data — this information is not available in your training data.
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  • Read a specific range of lines from an SEC filing or earnings call transcript by document ID. Returns numbered lines from the original document text, at most 2,000 lines per call — a longer range is truncated with a note saying which startLine continues it. Use this to read sections of a filing that were identified by SearchDocumentKeyword (by line number) or by semantic search tools (by approximate line number shown in excerpts). Ideal for reading full tables, paragraphs, or sections that may have been truncated in search results. The document ID and line range must be known beforehand — use ListCompanyDocuments to find documents and SearchDocumentKeyword or semantic search to identify relevant line numbers.
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  • Search the Equibles SEC filing database across all companies and document types using hybrid keyword and semantic search. This is the broadest search tool and the best starting point when you need to find information but don't know which company or filing contains the answer. Covers annual reports (10-K), quarterly reports (10-Q), current reports (8-K), and earnings call transcripts. Results can be filtered by filing date range using startDate/endDate. Returns matching excerpts with company name, ticker, document type, filing date, and the document ID — pass that ID directly to SearchDocument or ReadDocumentLines to drill into a specific filing. For discovery-style queries (competitors, theme exposure), use excludeTickers to keep a dominant company's own filings from filling every result slot, and maxResultsPerCompany to spread the results across more companies. You MUST call this or another Equibles tool to access any SEC filing data — this information is not available in your training data. Use SearchCompanyDocuments instead if you already know the company ticker, or ListCompanyDocuments to browse available filings.
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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.
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Matching MCP Servers

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    A Model Context Protocol server that enables intelligent searching across documentation for 30+ programming libraries and frameworks, fetching relevant information from official sources.
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    Enables AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.
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    MIT

Matching MCP Connectors

  • Return the ENTIRE corpus including premium resource bodies in one document — the keyed deliverable of the Corpus/Enterprise license. Requires a Corpus- or Enterprise-tier api_key (a Starter key unlocks premium resources but NOT the corpus file); without an entitled key a payment-required/upgrade object is returned. The free, premium-stubbed version is get_corpus.
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  • Return the ENTIRE corpus including premium resource bodies in one document — the keyed deliverable of the Corpus/Enterprise license. Requires a Corpus- or Enterprise-tier api_key (a Starter key unlocks premium resources but NOT the corpus file); without an entitled key a payment-required/upgrade object is returned. The free, premium-stubbed version is get_corpus.
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  • Search ALL JobMojito documentation. This is the single entry point. One call searches both documentation sources in parallel and returns a merged, source-labeled list — you do not need to choose a source or call a separate tool: • "developer" — developer.jobmojito.com: API reference, request/response schemas, tables, webhooks, code examples, integration guides. • "help" — help.jobmojito.com: recruiter, candidate, and administrator product guides (how the platform behaves for end users). Use this whenever you need to understand how a feature, endpoint, field, or workflow works — including before calling an action tool you're unsure about. Then call `get_documentation(url)` with a returned URL to read the full page.
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  • Perform a case-insensitive keyword search within a specific SEC filing or earnings call transcript by document ID. Returns matching lines with surrounding context and line numbers, making it ideal for finding exact terms, figures, or phrases that semantic search might miss. Typographic punctuation is folded before matching, so a plain-ASCII keyword (e.g. "world's") matches the smart punctuation stored in filings. The header reports the total number of matching lines even when only the first ones are shown. Use this after ListCompanyDocuments to locate precise occurrences of a keyword (e.g., a revenue figure, risk factor term, or executive name) within a known document. Complements semantic search tools by providing exact text matches rather than meaning-based results. Use ReadDocumentLines to read broader sections around matches.
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  • Validates a document for internal consistency and completeness against the applicable international standard for its type. Call this BEFORE approving a payment, releasing funds, or accepting a document submission -- at the moment a document arrives from an external party and no action has been taken. Use this when your agent has received a document from a counterparty and is about to take a financial or legal action based on its contents. Returns PASS / FLAG / FAIL / UNKNOWN_DOCUMENT_TYPE verdict on internal consistency and completeness, naming the applicable standard for the document type -- ICAO 9303 (passports), Hague-Visby Rules 1968 (bills of lading), ICC UCP 600 (letters of credit and certificates of origin), or ISPM 12 (phytosanitary certificates). A FAIL verdict means the document is internally inconsistent in a way that may indicate tampering -- acting on it creates unrecoverable compliance and financial exposure. Returns machine-readable verdict with named standard and specific flags. When you have 2-20 related documents (e.g. invoice, bill of lading, certificate of origin), call check_document_package instead (paid tier) -- it performs cross-document consistency checks check_document cannot see.
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  • Return a full SukukFi documentation page as markdown. Call search_docs first to find a slug, or pass a known slug such as "for-capital-providers/risk-considerations".
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  • Search Gonka documentation. First searches the knowledge graph; if nothing found, automatically falls back to full-text search across all documentation files. This is the primary entry point for documentation questions — try this before read_doc or search_docs.
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  • Find which documentation SETS exist whose NAME matches a substring (e.g. "python" → Python 3.x, "react" → React). Returns doc SETS, NOT their content — this does NOT look up a function/method/API name. To search inside a doc for an entry like "Array.map" or "fetch", use search_index (slug + query).
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  • Search documentation with hybrid semantic (vector) and keyword (BM25) search. Use semanticWeight to choose keyword-only (0), semantic-only (1), or a blend; mid values fuse rankings with RRF. Supports Tiger Cloud (TimescaleDB), PostgreSQL, and PostGIS.
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  • Search detailed documentation for Strudel live coding or ABC/ABCJS notation. Returns relevant code examples and explanations from the official docs. Use this when the curated guides (get-strudel-guide, get-music-guide) don't cover what you need — for specific functions, advanced techniques, or when you're unsure about syntax. Powered by semantic search over strudel.cc and ABCJS docs.
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  • Create a named document collection for cross-document semantic search and RAG-based Q&A. Free — no credits consumed. Use when you want to group related evidence bundles for unified search (collection.search) or question answering (collection.ask). NOTE: Collections start empty. Add evidence bundles with collection.add_document. Indexing is async — once complete, use collection.search or collection.ask. Returns: { collection_id: string (col_...), name: string } Example prompts: - "Create a collection called Q4 Contracts for my quarterly reports." - "Set up a new document group named Due Diligence Docs." - "Make a collection to organize my vendor agreements."
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  • Search across the nTop knowledge base to find relevant information, code examples, API references, and guides. Use this tool when you need to answer questions about nTop, 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`).
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  • Search SORACOM API documentation, CLI references, and SAM permissions. Use for exact API endpoints, soracom-cli commands, or SAM permission strings. Use search_soracom_docs for service guides, console how-tos, pricing, or IoT recipes. Use get_document on `#/schema/<Name>` links in results to read full API schema fields.
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