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    Mcp Graphiti

    Graphiti Model Context Protocol (MCP) Server - An MCP server for knowledge graph management via Graphiti

    77 stars
    Python
    Updated Nov 3, 2025

    Table of Contents

    • Quick Start
    • Security note
    • Why this fork?
    • Highlights
    • Danger zone
    • Contributing

    Table of Contents

    • Quick Start
    • Security note
    • Why this fork?
    • Highlights
    • Danger zone
    • Contributing

    Documentation

    Graphiti MCP Server

    Fork of the getzep/graphiti example with a focus on developer experience and multi‑project support. Graphiti extracts entities and relationships from text and stores them in Neo4j. This repo adds a CLI that spins up a root server plus project‑specific MCP servers in Docker so several knowledge graphs share the same database.

    Quick Start

    1. Install and clone

    bash
    pipx install 'git+https://github.com/rawr-ai/mcp-graphiti.git'
       git clone https://github.com/rawr-ai/mcp-graphiti.git
       cd mcp-graphiti
       cp .env.example .env  # fill in Neo4j credentials and your OpenAI key

    2. Launch services

    bash
    graphiti compose   # generates docker-compose.yml and updates .cursor/mcp.json
       graphiti up -d

    The root server runs on port 8000; project containers start at 8001.

    3. Create a project

    bash
    cd /path/to/my-kg
       graphiti init my-kg        # writes ai/graph/mcp-config.yaml
       # add entity definitions under ai/graph/entities/

    Rerun graphiti compose && graphiti up -d from anywhere to start its container.

    Once running you can:

    • Check http://localhost:8000/graphiti/status.
    • Connect MCP‑compatible tools to http://localhost:800{N}/sse.
    • Browse Neo4j at http://localhost:7474 using the credentials in .env.

    Security note

    If NEO4J_PASSWORD remains password the server refuses to start unless GRAPHITI_ENV=dev. Always use a strong password in production.

    Why this fork?

    The upstream repository assumes one server per compose file. Here a single compose file manages many project servers that share Neo4j. Each service gets its own group_id, entities and model so projects stay isolated while running on the same database.

    Highlights

    • Project isolation – different extraction rules or models never collide.
    • Editor auto‑discovery – ports are written to .cursor/mcp.json.
    • Crash containment – a bad prompt only restarts its container.
    • Hot reload – tweak a project's config and run graphiti reload .

    Leave mcp-projects.yaml empty if you only need the root server.

    Danger zone

    Setting NEO4J_DESTROY_ENTIRE_GRAPH=true wipes *all* projects the next time you run graphiti up. Use with care.

    Contributing

    PRs and issues are welcome.

    © 2025 rawr‑ai • MIT License

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