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Graphiti MCP Server • Fast Multi‑Project Knowledge Graphs

rawr-ai/mcp-graphiti · 102 stars · Python

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

Install

The repo has no one-line install. Follow its README.

Open the repo

Files

README.md

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
    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
    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
    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 <container>.

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

Facts

Kind
MCP server
Repo
rawr-ai/mcp-graphiti
Group
Uncategorized
Stars
102
Language
Python
Last push
2025-08-06
Forks
21

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