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459,556 tools. Updated 2026-08-17 07:29

"How to Use or Manage Knowledge Base in Feishu" matching MCP tools:

Matching MCP Servers

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    A knowledge base MCP server that aggregates team knowledge from multiple sources into Postgres. It provides hybrid search (full-text + vector + RRF) via MCP tools, and enables direct recording of decisions, learnings, and pitfalls.
    MIT

Matching MCP Connectors

  • A searchable knowledge base your assistant reads and writes.

  • Search verified local businesses, check what their verification proves, and message them.

  • List text documents included in the configured knowledge base. Use the optional limit parameter to control the number of results returned.
    MIT
  • Contribute verified lessons to a shared AI knowledge base after learning attempts. Lessons become searchable by any AI, turning individual knowledge into collective intelligence.
    Apache 2.0
  • Retrieve all collections in the workspace to see names, IDs, and descriptions. Use this to explore knowledge base organization and find specific collections.
    MIT
  • Browse and read files or directories in the Lspace knowledge base. Syncs with the remote server for updated content; use 'list_directory' to view folders or 'read_file' for file contents.
  • Discover available knowledge topics in your GitHub-based knowledge base. Use this tool to see what information exists before reading content.
    MIT
  • Search the local knowledge base to retrieve relevant information. Returns top matching knowledge cards with scores and content. Use to find existing knowledge before conducting web research.
    MIT
  • Check local knowledge cards for frontmatter validity, body density, and source freshness. Use to ensure reliability before depending on a knowledge base.
    MIT
  • Creates a knowledge article in a specified ServiceNow knowledge base. Provide content as HTML or wiki and set workflow state, with draft as the default.
    MIT
  • Search the Claude Code architecture knowledge base to understand module implementations, patterns, and decisions using natural language queries with adjustable depth.
    MIT
  • Statically validate a knowledge base to catch parse errors, undefined predicates, recursion with no base case, and duplicate facts or rules.
    MIT
  • Copy, move, or delete Feishu Drive files and folders. Provide file token, resource type, and action; optionally specify destination folder or new name.
    MIT