Skip to main content
Glama

Implementing RAG (Retrieval-Augmented Generation) on Local Files MCP tools

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

72,335 tools. Last updated 2026-02-18 13:38
  • Ask questions about memory files using retrieval-augmented generation to get answers from stored content with configurable search modes.
    MIT
  • Extract and analyze web page content to answer specific questions using RAG (Retrieval Augmented Generation). Provide AI-generated responses based on relevant page sections for accurate insights.
    MIT
  • Upload files to process and index them for searchable knowledge retrieval using RAG (Retrieval-Augmented Generation) technology.
    MIT
  • Delete files from the RAG system to manage storage and maintain relevant content for retrieval-augmented generation tasks.
    MIT

Interested in MCP?

Join the MCP community for support and updates.

RedditDiscord

Matching MCP servers

  • A
    security
    A
    license
    A
    quality
    Enhances AI model capabilities with structured, retrieval-augmented thinking processes that enable dynamic thought chains, parallel exploration paths, and recursive refinement cycles for improved reasoning.
    Last updated 6 months ago
    20
    MIT
    • Apple
  • -
    security
    A
    license
    -
    quality
    A Docker-based local RAG backend that provides advanced document search capabilities using vector, graph, and full-text retrieval via the Model Context Protocol. It supports over 28 file formats and tracks evolving relationships between concepts using a Neo4j-backed graphiti implementation.
    Last updated 7 months ago
    1
    MIT