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an-mcp-to-access-openais-rag-system-via-api MCP tools

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

75,443 tools. Last updated 2026-03-01 19:54
  • 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
  • Delete files from the RAG system to manage storage and maintain relevant content for retrieval-augmented generation tasks.
    MIT
  • Remove stored files, vector memory, or all data from the RAG system to free storage space or reset the knowledge base.
    MIT
  • Find relevant documents in the RAG system using semantic search with customizable similarity thresholds and result limits.
    MIT
  • Retrieve a complete list of all files stored in the RAG system for document management and semantic search operations.
    MIT
  • Set up an existing API key for MCP access to save it in the .env file for future requests, ideal for users who registered via OAuth and created a key on the web portal.
    MIT

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