The Graphiti MCP Server provides dynamic knowledge graph management using Neo4j, integrated with OpenAI models, supporting MCP for efficient AI communication and reasoning.
Added on:
Created by:
Apr 02 2025
The Graphiti MCP Server provides dynamic knowledge graph management using Neo4j, integrated with OpenAI models, supporting MCP for efficient AI communication and reasoning.
Added on:
Created by:
Apr 02 2025
Guilherme Sousa
Featured
What is Graphiti MCP Server?
Graphiti MCP Server is a powerful platform that combines Neo4j's graph database capabilities with the Model Context Protocol (MCP) to enable AI agents to access and manage structured knowledge effectively. It supports seamless integration with OpenAI's language models, customizable entity extraction, and advanced semantic search, making it suitable for AI-driven applications requiring real-time knowledge management, reasoning, and dialogue. The server is Docker-ready for deployment and can be used in various AI, data analytics, and semantic search projects.
Who will use Graphiti MCP Server?
- AI developers
- Knowledge graph engineers
- Data scientists
- AI research institutions
- Software engineers working on AI integration
How to use the Graphiti MCP Server?
- Step 1: Clone the repository from GitHub.
- Step 2: Set up environment variables and configuration files.
- Step 3: Run Docker compose to launch the server.
- Step 4: Configure Neo4j connection settings and API keys.
- Step 5: Integrate with your AI agents or applications.
Graphiti MCP Server's Core Features & Benefits
The Core Features
- Dynamic knowledge graph management with Neo4j
- Seamless integration with OpenAI language models
- Support for Model Context Protocol (MCP)
- Custom entity extraction capabilities
- Advanced semantic search functionality
The Benefits
- Enables efficient management of large-scale structured knowledge
- Supports real-time AI reasoning and decision making
- Flexible and customizable for various AI applications
- Easily deployable with Docker
- Enhances AI agents' understanding through semantic search
Graphiti MCP Server's Main Use Cases & Applications
- AI agents knowledge management
- Semantic search in large datasets
- AI-powered chatbots and virtual assistants
- Research in knowledge graphs and reasoning
- Integration with machine learning workflows
FAQs of Graphiti MCP Server
Developer
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