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

"Local RAG system for providing documentation to a large language model (LLM)" matching MCP servers:

• Local RAG

  shinpr

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  security

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  license

  A

  quality

  Privacy-first local document search using semantic search. Runs entirely on your machine with no cloud services, supporting PDF, DOCX, TXT, and Markdown files.

  Last updated 13 days ago

  6

  353

  112

  MIT

• mcp-local-rag

  nkapila6

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  security

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  license

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  quality

  "primitive" RAG-like web search model context protocol server that runs locally. ✨ no APIs ✨

  Last updated 17 days ago

  1

  112

  Python

  MIT

• local-RAG-backend

  suwa-sh

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  security

  A

  license

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  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

• Local LLM MCP Server

  georgepok

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  security

  A

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  quality

  Bridges local LLMs running in LM Studio with MCP clients like Claude Desktop to perform reasoning and analysis tasks while keeping sensitive data private. It features a suite of tools for local code review, privacy scanning, and content transformation using auto-discovered local models.

  Last updated 15 days ago

  MIT

• MCP Server For Local

  Dreamboat-Rachel

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  security

  A

  license

  A

  quality

  A customizable Model Context Protocol server implementation that enables AI models to interact with external tools including weather queries, Google search, and camera control functionality.

  Last updated a year ago

  1

  14

  Apache 2.0

• A-MEM: Agentic Memory System

  tobs-code

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  security

  F

  license

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  quality

  Provides an intelligent, graph-based memory system for LLM agents using the Zettelkasten principle, enabling automatic note construction, semantic linking, memory evolution, and autonomous graph maintenance with background optimization processes.

  Last updated 22 days ago

  6