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743,703 tools. Updated 2026-11-04 21:15

"Retrieving information from document directory with search and memory capabilities" matching MCP tools:

  • Retrieve complete Amazon Business API documentation content using document references from search results. Access full API references, implementation guides, and detailed endpoint information for integration development.
    Apache 2.0
  • Retrieves the complete content of a document using its ID from search results, including title, URL, and metadata for thorough reference.
    Apache 2.0
  • Search a built-in sample FOI document corpus with an in-memory inverted index for experimental full-text search. Returns ranked hits with id, score, and title.
    MIT
  • Obtain ORDnet MCP server version, capabilities, and service fee details. Use this information to confirm server availability and plan your integration.
    MIT

Matching MCP Servers

  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables MCP-capable AI agents to invoke 38 deterministic, private, auditable compute tools over stdio, covering PII masking, finance schedules, health, text, units, media, business, gaming, and scheduling without network access or dependencies.
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables AI harnesses to maintain a persistent memory layer backed by a local SQLite file, providing MCP tools to add, search, deprecate, and synchronize facts without deleting history.
    MIT

Matching MCP Connectors

  • Encrypted long-term memory shared across your AI assistants (Claude, ChatGPT, Perplexity).

  • Deterministic company, entity and location lookups for agents - per call, x402 or API key.

  • Retrieve detailed information about a specific AimDB instance, including server version, protocol, permissions, and capabilities.
    Apache 2.0
  • Retrieve relevant information from indexed FHIR documents by searching the Pinecone vector index with a query and document ID.
    MIT
  • Search FHIR documents for relevant information using vector embeddings. Retrieve answers from indexed notes and documents with a query and document ID.
    MIT
  • Retrieves detailed console information from a connected X32 or M32 mixer, including model, firmware version, and system details, to identify capabilities and troubleshoot issues.
    MIT
  • Saves summarized conversations and technical information to memory files with structured markdown formatting for organized retrieval and reference in Cursor IDE.
    MIT
  • Verify MultiMail agent identities by retrieving public operator details, oversight modes, and capabilities to ensure secure communication.
    MIT
  • Get system information about the server machine: OS, hostname, home directory, Node version, CPU count, and total memory.
    MIT
  • Fetch complete agent details from YAGOO directory by providing the agent's slug; includes capabilities, limitations, pricing, and recommendations.
    MIT
  • Resume a session from a session_snapshot, opening it fresh with default resource guards and no inherited capabilities; pass capabilities to grant them.
    MIT
  • Display memory index information including corpus size, search pipeline status, usage metrics, and embedding worker state.
    MIT
  • Fetch a live memory and all its linked connections by ID, returning only current entries. Find archived or stale memories through separate audit modes.
    MIT