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458,064 tools. Updated 2026-08-14 22:15

"Creating a Local Knowledge Base" matching MCP tools:

  • Index local research documents (PDF, Markdown, JSON, TXT) into the Onyx RAG knowledge base. These documents become searchable for instant retrieval and querying.
    MIT
  • Retrieve relevant passages from your personal knowledge base and generate answers using a local LLM, keeping your data private.
    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

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  • Statically validate a knowledge base to catch parse errors, undefined predicates, recursion with no base case, and duplicate facts or rules.
    MIT
  • Search the knowledge base using semantic similarity to find relevant information. Retrieve ranked chunks with source details before creating new resources.
    MIT
  • Remove a document from your local knowledge base using its file path or source.
    MIT
  • Delete a saved knowledge topic from the knowledge base with required confirmation.
    Apache 2.0
  • 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
  • Import YouTube video comments into a local knowledge base to enable semantic search and analysis of viewer discussions.
    MIT
  • Retrieve information from memories and knowledge base using a unified search query. Results prioritize memories over knowledge.
    MIT
  • Stores knowledge entries such as solutions, patterns, and errors in a local knowledge base for cross-session retrieval. Prevents duplicates by searching before storing.
    MIT