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"Information about Git, a version control system" matching MCP servers:

  • Modular RAG System

    naffss-eng
    F
    license
    -
    quality
    B
    maintenance
    MCP server for a modular RAG system that enables natural language question answering over enterprise documents with intent-aware routing, adaptive retrieval, and citation-backed responses.
  • @git-fabric/chat by git-fabric

    @git-fabric/chatofficial

    git-fabric
    F
    license
    A
    quality
    -
    maintenance
    An AI conversation management layer that enables creating chat sessions, persisting message history to GitHub, and performing semantic searches over past interactions. It supports multi-turn threading and context injection to integrate external memory sources into Claude conversations.
    12

  • @git-fabric/aiana

    git-fabric
    F
    license
    A
    quality
    -
    maintenance
    A composable semantic memory layer that provides cross-project recall and session context using Qdrant and OpenAI embeddings. It enables users to securely store, search, and manage persistent memories with built-in secret scrubbing for privacy.
    11

  • Git Prompts MCP Server

    ceshine
    A
    license
    B
    quality
    D
    maintenance
    A Model Context Protocol server that generates prompts based on Git repository content, including a command to generate PR descriptions from diffs.
    3
    2
    MIT

  • RAG In A Box MCP Server

    DevNexsler
    F
    license
    -
    quality
    B
    maintenance
    Enables any MCP-compatible AI assistant to search, filter, and retrieve information from a local document collection using a hybrid search pipeline with vector, BM25, reranking, and LLM enrichment.
    4

  • Second Brain Control Plane MCP

    alebellotta
    A
    license
    -
    quality
    B
    maintenance
    Provides semantic search, note retrieval, source explanation, daily digests, and health checks for a local Obsidian vault, enabling MCP clients like Claude Desktop and Claude Code to query the second brain via natural language.
    MIT

  • MCP Enhanced Data Retrieval

    kalpalathika
    F
    license
    -
    quality
    D
    maintenance
    Enables AI applications to access and contextualize organizational knowledge sources including GitHub repositories and internal documentation through standardized MCP protocol integration. Features OAuth 2.1 authentication, vector-based semantic search, and optimized context chunking for enterprise development workflows.
  • Memstate AI - Agent Memory System by memstate-ai

    Memstate AI - Agent Memoryofficial

    memstate-ai
    A
    license
    A
    quality
    D
    maintenance
    Provides versioned, structured memory for AI agents, allowing them to store facts, detect conflicts, and track knowledge history via a hosted SaaS platform. It enables efficient hierarchical information retrieval and semantic search while keeping token usage constant as memory scales.
    7
    30
    7
    Apache 2.0

  • MCP-based Knowledge Graph

    turambar928
    F
    license
    B
    quality
    C
    maintenance
    An automated system that processes raw text through a three-stage pipeline to assess data quality, enhance information, and generate structured knowledge graphs. It provides tools for triple extraction with confidence scoring and creates interactive HTML visualizations of the resulting graph.
    1
    5

  • Document Q&A MCP Server

    SY-MR-CODER
    A
    license
    -
    quality
    D
    maintenance
    A Python-based MCP server that enables document-based question answering by processing PDF, TXT, and Markdown files through OpenAI's API. It provides hallucination-free responses based strictly on document content using semantic search and includes a web interface for management.
    MIT

  • Document Q&A MCP Server

    sprchr
    A
    license
    -
    quality
    D
    maintenance
    Enables document-based question answering using OpenAI's GPT-4 with semantic search and embeddings. Upload PDF, TXT, or Markdown files and get answers strictly based on document content with source attribution and confidence scores.
    MIT

  • AVS Document Search System

    patw
    A
    license
    -
    quality
    D
    maintenance
    A vector search system that enables semantic retrieval of document chunks using MongoDB Atlas Vector Search and Voyage AI embeddings, allowing users to search documents by meaning rather than just keywords.
    2
    MIT