graphiti
pipStandardGraphiti exposes a knowledge graph server for AI agents, built on Neo4j. It provides tools for querying, updating, and managing graph data. The server connects to Neo4j databases and integrates with MCP for agent interaction. Developers use it for building AI applications that require graph-based data processing and semantic querying.
138160Updated 7 months ago
Overview
Graphiti exposes a knowledge graph server for AI agents, built on Neo4j. It provides tools for querying, updating, and managing graph data. The server connects to Neo4j databases and integrates with MCP for agent interaction. Developers use it for building AI applications that require graph-based data processing and semantic querying.
Installation
1Install the package
pip
pip install graphiti-mcp-server2Add to Claude
Add this configuration to your claude_desktop_config.json:
claude_desktop_config.json
{
"mcpServers": {
"gifflet-graphiti-mcp-server-github": {
"command": "uvx",
"args": [
"pip install graphiti-mcp-server"
]
}
}
}3Verify installation
Restart Claude Desktop, then ask:
"What tools do you have available from graphiti?"
Prerequisites
- Python 3.10 or higher
- pip or uv package manager
- Claude Desktop or Claude API access
- API key for graphiti
Configuration
API Key Required
This server requires an API key from graphiti. Add it to your environment or config.
| Variable | Required | Description |
|---|---|---|
| GRAPHITI_API_KEY | Yes | Your graphiti API key |
Usage Examples
List Resources
"What resources are available in graphiti?"
Claude will query available resources and return a list of what you can access.
Get Details
"Show me details about [specific item] in graphiti"
Claude will fetch and display detailed information about the requested item.
Create New
"Create a new [item] in graphiti with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
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