Model Context Protocol Server for NebulaGraph

What is the Model Context Protocol Server for NebulaGraph? The Model Context Protocol Server for NebulaGraph is an implementation that provides seamless access to NebulaGraph 3.x, allowing users to explore graph data and integrate with LLM tooling systems. How to use the Model Context Protocol Server? To use the server, install it via pip and configure it using environment variables or a .env file. The command nebulagraph-mcp-server will load the necessary configurations. Key features of the Model Context Protocol Server? Seamless access to NebulaGraph 3.x. Support for schema exploration, querying, and shortcut algorithms. Follows the Model Context Protocol for integration with LLM tools. Simple command-line interface with environment variable support. Use cases of the Model Context Protocol Server? Integrating graph databases with machine learning models. Exploring complex graph structures and relationships. Developing applications that require graph data manipulation and analysis. FAQ from the Model Context Protocol Server? What version of NebulaGraph is supported? Only NebulaGraph version 3 is supported at this time. How do I install the server? You can install it using the command: pip install nebulagraph-mcp-server. Can I configure the server using a .env file? Yes, the server supports configuration via environment variables and .env files.

As an MCP (Model Context Protocol) server, Model Context Protocol Server for NebulaGraph enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

To use the server, install it via pip and configure it using environment variables or a .env file. The command nebulagraph-mcp-server will load the necessary configurations. Key features of the Model Context Protocol Server? Seamless access to NebulaGraph 3.x. Support for schema exploration, querying, and shortcut algorithms. Follows the Model Context Protocol for integration with LLM tools. Simple command-line interface with environment variable support. Use cases of the Model Context Protocol Server? Integrating graph databases with machine learning models. Exploring complex graph structures and relationships. Developing applications that require graph data manipulation and analysis. FAQ from the Model Context Protocol Server? What version of NebulaGraph is supported? Only NebulaGraph version 3 is supported at this time. How do I install the server? You can install it using the command: pip install nebulagraph-mcp-server. Can I configure the server using a .env file? Yes, the server supports configuration via environment variables and .env files.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.