A Model Context Protocol (MCP) server implementation that provides access to NebulaGraph.

PyPI - Version PyPI - Python Version Lint and Test

• Seamless access to NebulaGraph 3.x .
• Get ready for graph exploration, you know, Schema, Query, and a few shortcut algorithms.
• Follow Model Context Protocol, ready to integrate with LLM tooling systems.
• Simple command-line interface with support for configuration via environment variables and .env files.

LlamaIndex with NebulaGraph MCP

pip install nebulagraph-mcp-server

nebulagraph-mcp-server will load configs from .env, for example:

NEBULA_VERSION=v3 # only v3 is supported
NEBULA_HOST=<your-nebulagraph-server-host>
NEBULA_PORT=<your-nebulagraph-server-port>
NEBULA_USER=<your-nebulagraph-server-user>
NEBULA_PASSWORD=<your-nebulagraph-server-password>

It requires the value of NEBULA_VERSION to be equal to v3 until we are ready for v5.

npx @modelcontextprotocol/inspector \
 uv run nebulagraph-mcp-server

The layout and workflow of this repo is copied from mcp-server-opendal.