Enables configuration of the NebulaGraph MCP server via environment variables and .env files for storing connection details and credentials.
Hosts the server's repository and provides CI/CD workflows for testing and linting through GitHub Actions.
Provides access to NebulaGraph databases, enabling graph exploration through schema discovery, query execution, and graph algorithm shortcuts for AI agents to interact with graph data.
Enables distribution and installation of the NebulaGraph MCP server through the Python Package Index, allowing users to easily install the server using pip.
Runs on Python runtime, supporting multiple Python versions as indicated by the PyPI version badge.
Model Context Protocol Server for NebulaGraph
A Model Context Protocol (MCP) server implementation that provides access to NebulaGraph.
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.
Related MCP server: MongoDB MCP Server for LLMs
Installation
Usage
nebulagraph-mcp-server will load configs from .env, for example:
It requires the value of
NEBULA_VERSIONto be equal to v3 until we are ready for v5.
Development
Credits
The layout and workflow of this repo is copied from mcp-server-opendal.