Graphiti MCP Server
This MCP server extracts entities and relationships from text and stores them in Neo4j, supporting multiple isolated knowledge graph projects that share the same database.
README
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
- 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 - Launch services
The root server runs on port 8000; project containers start at 8001.graphiti compose # generates docker-compose.yml and updates .cursor/mcp.json graphiti up -d - Create a project
Reruncd /path/to/my-kg graphiti init my-kg # writes ai/graph/mcp-config.yaml # add entity definitions under ai/graph/entities/graphiti compose && graphiti up -dfrom 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:7474using 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
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.