- Graphiti MCP Server 🧠
Graphiti MCP Server 🧠
Overview
What is Graphiti MCP Server?
Graphiti MCP Server is a powerful knowledge graph server designed for AI agents, built using Neo4j and integrated with the Model Context Protocol (MCP).
How to use Graphiti MCP Server?
To use Graphiti MCP Server, clone the repository, set up your environment variables, and start the services using Docker.
Key features of Graphiti MCP Server?
- Dynamic knowledge graph management with Neo4j
- Seamless integration with OpenAI models
- Support for Model Context Protocol (MCP)
- Docker-ready deployment
- Custom entity extraction capabilities
- Advanced semantic search functionality
Use cases of Graphiti MCP Server?
- Managing complex knowledge graphs for AI applications.
- Integrating AI models for enhanced data processing.
- Utilizing semantic search for improved information retrieval.
FAQ from Graphiti MCP Server?
- What are the prerequisites for using Graphiti MCP Server?
You need Docker, Docker Compose, Python 3.10 or higher, and an OpenAI API key.
- Is Graphiti MCP Server open-source?
Yes! It is licensed under the MIT License.
- Can I contribute to the project?
Absolutely! Contributions are welcome, and you can submit a Pull Request.
Project Info
Created At
a year agoUpdated At
a year agoAuthor Name
giffletStar
0Language
PythonLicense
-Category
research-and-data
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