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205,011 tools. Last updated 2026-06-15 02:11

"Searching for information about PDFs" matching MCP tools:

  • Retrieve / download / get the file for a digital product after the user paid for it. Use after `pay_merchant` succeeds for digital goods (PDFs, ebooks, cheatsheets, datasets). Pass the on-chain `txHash` from `pay_merchant` OR a Coal checkout `sessionId`. Returns a verified download URL the user can click. Supported product slugs: `0g-cheatsheet` (The 0G Builder's Cheatsheet, $0.10).
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  • General search tool. This is your FIRST entry point to look up for possible tokens, entities, and addresses related to a query. Do NOT use this tool for prediction markets. For Polymarket names, topics, event slugs, or URLs, use `prediction_market_lookup` instead. Nansen MCP does not support NFTs, however check using this tool if the query relates to a token. Regular tokens and NFTs can have the same name. This tool allows you to: - Check if a (fungible) token exists by name, symbol, or contract address - Search information about a token - Current price in USD - Trading volume - Contract address and chain information - Market cap and supply data when available - Search information about an entity - Find Nansen labels of an address (EOA) or resolve a domain (.eth, .sol)
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  • Fetch a specific public FTIR analysis result by ID. USE WHEN: - User provides a result ID (e.g., "result:12345" or "12345") - Following up on search to get full details - User shares a result number and wants details DO NOT USE: - For searching by keyword (use search) - For analyzing new spectra (use search_ftir_library) INPUT: - id: result identifier in format "result:<number>" or just "<number>" OUTPUT: - id: canonical result ID - url: direct link to result page - title: result headline - text: analysis summary - report_view: detailed analysis data - metadata: additional information EXAMPLE: >>> fetch(id="result:12345") >>> fetch(id="12345")
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  • Get your agent's real mailing address beta endpoint when the account has explicit beta access: street address + mailbox number for approved accounts. For generally available inbound context, use list_inbound_forwarding_addresses instead; that returns a private intake alias for scans, PDFs, photos, provider notices, and notes from addresses the operator already uses.
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  • List all generated reports with status and summary info. Returns an array of report objects with id, report_type, status, title, and summary. Use the report id with atlas_get_report for details or atlas_download_report to download completed PDFs. Free.
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  • Get detailed information about a specific job listing/posting by its job listing ID (not application ID). Use this to view the full job posting details including description, salary, skills, and company info. For job application details, use get_application instead.
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Matching MCP Servers

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    An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.
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    Provides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.
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    Apache 2.0

Matching MCP Connectors

  • Give your AI agent a phone. Place outbound calls to US businesses to ask, book, or confirm.

  • Energy data from EIA: electricity, fuel prices, and renewables

  • Discover all knowledge bases you have access to. Returns collection names, descriptions, content types, stats, available operations, and usage examples for each collection. Call this first to understand what data is available before searching.
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  • Search Google Scholar for academic papers, citations, and scholarly articles. Returns results with titles, authors, publication info, citation counts, and links to PDFs. Use cites parameter to find papers citing a specific work, or cluster to find all versions of a paper. For US court opinions and case law, use google_scholar_cases instead.
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  • Extract text from PDFs and images as clean Markdown. Uses Mistral OCR — handles complex layouts, tables, handwriting, multi-column documents, and mathematical notation. Preserves document hierarchy in structured Markdown. 10 sats/page. Pay per request with Bitcoin Lightning — no API key or signup needed. Requires create_payment with toolName='extract_document' and quantity=pageCount for multi-page PDFs.
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  • List all retailers available to your API key. Always call this first to discover valid retailer IDs before searching products.
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  • General search tool. This is your FIRST entry point to look up for possible tokens, entities, and addresses related to a query. Do NOT use this tool for prediction markets. For Polymarket names, topics, event slugs, or URLs, use `prediction_market_lookup` instead. Nansen MCP does not support NFTs, however check using this tool if the query relates to a token. Regular tokens and NFTs can have the same name. This tool allows you to: - Check if a (fungible) token exists by name, symbol, or contract address - Search information about a token - Current price in USD - Trading volume - Contract address and chain information - Market cap and supply data when available - Search information about an entity - Find Nansen labels of an address (EOA) or resolve a domain (.eth, .sol)
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  • List all positioning sessions (market analysis through lens selection to targeted edits). Returns an array of session objects with id, status, cv_version_id, and created_at. Use the session id with ceevee_get_positioning_session for full details including analysis results, edits, and PDFs. Free.
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  • Get available filter values for search_jobs: job types, workplace types, cities, countries, seniority levels, and companies. Call this first to discover valid filter values before searching, especially for country codes and available cities.
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  • Get full details for a single broker (agent) by their profile slug. Call this when the user asks for more information about a specific broker. Use the slug from search_brokers results.
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  • Get full details for a single business (listing) by its slug. Call this when the user asks for more information about a specific business. Use the slug from search_businesses results.
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  • Returns structured information about what the Recursive platform includes: features, AI model details, supported integrations, and what's included at every tier. Use for systematic feature comparison.
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  • Get available filter values for search_jobs: job types, workplace types, cities, countries, seniority levels, and companies. Call this first to discover valid filter values before searching, especially for country codes and available cities.
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  • Load educational slides or cloud file attachments. Use laminasAnexos for educational slides/laminas (~238 items with PDFs about nutrition topics), cloudAnexos for uploaded cloud files. For guidelines/orientations specifically, use webdiet_orientacoes action=list_banco. Bulk support: accepts patient_ids for batched execution.
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  • Overview of the Pinnacle Ask knowledge layer: featured content, corpus statistics, and entry points. Takes no arguments. Good first call to orient before searching.
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  • Use this tool when the user provides two or more PDF files and wants them combined into one. Triggers: 'merge these PDFs', 'combine these documents', 'join these files into one PDF'. Accepts 2–20 base64-encoded PDFs in order. Returns the merged PDF as a base64 string.
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