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

77 stars PythonAI & Machine Learning Updated Nov 3, 2025

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

Frequently asked questions

What is mcp-graphiti?

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

How do I install mcp-graphiti?

Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.

Is mcp-graphiti open source?

Yes — it is hosted on GitHub at https://github.com/mateicanavra/mcp-rawr-graphiti and has 77 stars.

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