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Local RAG system for providing documentation to a large language model (LLM) MCP tools

Production-ready MCP servers that extend AI capabilities through file access, database connections, APIs, and contextual services.

75,193 tools. Last updated 2026-02-24 20:58
  • Add files to a RAG system for document retrieval, supporting PDF, DOCX, TXT, MD, CSV, and JSON formats to enable semantic search and information access.
    MIT
  • Write large content directly to disk, bypassing LLM limitations for files exceeding 300 characters.
  • Delete files from the RAG system to manage storage and maintain relevant content for retrieval-augmented generation tasks.
    MIT
  • Write large content directly to disk without LLM processing to handle files exceeding character limits.

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