graphiti-mcp-server — MCP Server by gifflet

by gifflet · MCP Server · ★ 140

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About graphiti-mcp-server

Graphiti MCP Server 🧠 🌟 A powerful knowledge graph server for AI agents, built with Neo4j and integrated with Model Context Protocol (MCP). 🚀 Features 🔄 Dynamic knowledge graph management with Neo4j 🤖 Seamless integration with OpenAI models 🔌 MCP (Model Context Protocol) support 🐳 Docker-ready deployment 🎯 Custom entity extraction capabilities 🔍 Advanced semantic search functionality 🛠️ Installation Prerequisites Docker and Docker Compose Python 3.10 or higher OpenAI API key Minimum 4GB RAM (recommended 8GB) 2GB free disk space Quick Start 🚀 Clone the repository: Set up environment variables: Edit with your configuration: Start the service

aicursorgraphitimcp

Quick Facts

Stars140
Forks16
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score71.6434658863925/100
Last Updated2025-07-31
Created2025-04-02
Platformsmcp, python
Est. Tokens~4k

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Frequently Asked Questions

What is graphiti-mcp-server?

graphiti-mcp-server is Graphiti MCP Server. It is categorized as a MCP Server with 140 GitHub stars.

What programming language is graphiti-mcp-server written in?

graphiti-mcp-server is primarily written in Python. It covers topics such as ai, cursor, graphiti.

How do I install or use graphiti-mcp-server?

You can find installation instructions and usage details in the graphiti-mcp-server GitHub repository at github.com/gifflet/graphiti-mcp-server. The project has 140 stars and 16 forks, indicating an active community.

What license does graphiti-mcp-server use?

graphiti-mcp-server is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to graphiti-mcp-server?

The top alternatives to graphiti-mcp-server on Agent Skills Hub include Context-Engine, agnix, flutter-skill. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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