Graphiti MCP Server

Graphiti MCP Server

Enables users to query a comprehensive knowledge graph of personality psychology containing over 16,000 nodes covering traits, frameworks, and assessments. It supports semantic search of facts and entities, relationship extraction, and the ability to add new information to the graph.

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README

Graphiti MCP Server (Personality Knowledge Graph)

A private MCP server for querying a personality psychology knowledge graph, powered by Graphiti and Neo4j Aura.

Features

  • Knowledge Graph: 16,000+ nodes covering personality psychology research, traits, types, frameworks, and assessments
  • Semantic Search: Search facts and entities using natural language
  • MCP Protocol: Compatible with Claude, Cursor, and other MCP clients
  • Cloud Hosted: Runs on Railway with Neo4j Aura backend

Quick Start

For MCP Clients (Cursor, Claude Desktop)

Connect to the hosted server:

{
  "mcpServers": {
    "personality-knowledge": {
      "url": "https://YOUR_RAILWAY_URL/mcp/"
    }
  }
}

Local Development

  1. Clone and install dependencies:
git clone https://github.com/YOUR_USERNAME/graphiti-mcp-server.git
cd graphiti-mcp-server
uv sync
  1. Set environment variables:
cp .env.example .env
# Edit .env with your credentials
  1. Run the server:
uv run main.py --config config/config-aura.yaml

Configuration

The server is configured via YAML files in config/:

  • config-aura.yaml - Production config for Neo4j Aura
  • config-docker-neo4j.yaml - Local development with Docker Neo4j

Required Environment Variables

Variable Description
NEO4J_URI Neo4j Aura connection URI
NEO4J_USER Neo4j username (usually neo4j)
NEO4J_PASSWORD Neo4j password
OPENAI_API_KEY OpenAI API key for LLM/embeddings

Available MCP Tools

  • search_nodes - Search for entity summaries by semantic similarity
  • search_facts - Search for relationships/facts between entities
  • get_entity_edge - Get details of a specific relationship
  • get_episodes - Get recent episodes for a group
  • add_episode - Add new information to the knowledge graph
  • get_status - Check server and database status

Deployment

Railway

  1. Create a new Railway project
  2. Connect this repository
  3. Set environment variables in Railway dashboard
  4. Deploy

The railway.toml and docker/Dockerfile.standalone are pre-configured for Railway deployment.

Knowledge Graph Contents

This instance contains indexed personality psychology textbooks covering:

  • Personality Traits: Big Five, HEXACO, temperament dimensions
  • Personality Types: MBTI, Enneagram, Socionics
  • Frameworks: Theoretical models and assessment frameworks
  • Researchers: Key figures in personality psychology
  • Assessments: Psychological inventories (NEO-PI-R, HEXACO-PI-R, etc.)

License

This MCP server configuration is for private use. The underlying Graphiti framework is licensed under Apache 2.0.

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