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650,770 tools. Updated 2026-10-14 18:04

"Creating a Local Knowledge Base" matching MCP tools:

  • Add question-and-answer pairs to the company knowledge base to close visitor knowledge gaps. Replacing an existing question updates its answer, preventing duplicate versions.
    MIT
    Destructive
  • Answer learning questions with evidence from your private knowledge base. Retrieve source-backed information directly from local documents.
    MIT
  • Retrieve relevant passages from your personal knowledge base and generate answers using a local LLM, keeping your data private.
    MIT

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  • Retrieve an alphabetically sorted list of all tags in your Zettelkasten to find existing tags before creating new notes, ensuring consistent tagging across your knowledge base.
    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
  • Statically validate a knowledge base to catch parse errors, undefined predicates, recursion with no base case, and duplicate facts or rules.
    MIT
  • Retrieve relevant document chunks from a local knowledge base using hybrid semantic and keyword search. Returns ranked results with source file paths and relevance scores.
    MIT
  • Search the knowledge base using semantic similarity to find relevant information. Retrieve ranked chunks with source details before creating new resources.
    MIT
  • Delete a saved knowledge topic from the knowledge base with required confirmation.
    Apache 2.0
  • Save resolved SAP HANA incidents or findings to a local Markdown knowledge base. Capture symptoms, root cause, solution, and lessons to build searchable documentation.
    MIT
  • Fetch complete Markdown case content from local or remote knowledge base by filename, ensuring access even offline or with expired license.
    MIT
  • Store multiple knowledge items in a single batch into the long-term knowledge base. Each item is automatically embedded and assigned a unique ID, improving efficiency over individual stores.
    MIT
  • Ask a natural language question to retrieve relevant chunks from your knowledge base. Get direct answers for AI assistants.
    MIT
  • List available data sources in the MongoDB Assistant knowledge base to explore options or obtain search filter parameters for search-knowledge queries.
    Apache 2.0
  • Retrieve information from memories and knowledge base using a unified search query. Results prioritize memories over knowledge.
    MIT