NebulaGraph MCP Server
by MCP-Mirror/PsiACE
A Model Context Protocol (MCP) server implementation that provides access to NebulaGraph. It allows seamless graph exploration and integration with LLM tooling systems.
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Model Context Protocol Server for NebulaGraph
A Model Context Protocol (MCP) server implementation that provides access to NebulaGraph.
PyPI - Version PyPI - Python Version Lint and Test
Features
- 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
Installation
pip install nebulagraph-mcp-server
Usage
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_VERSIONto be equal to v3 until we are ready for v5.
Development
npx @modelcontextprotocol/inspector \
uv run nebulagraph-mcp-server
Credits
The layout and workflow of this repo is copied from mcp-server-opendal.