Model Context Protocol Server for NebulaGraph

by PsiACE

28 stars
367 downloads
Not rated
GitHub Website

About

The Model Context Protocol Server for NebulaGraph is an MCP server that provides LLM tooling systems with seamless access to NebulaGraph 3.x. It enables graph exploration by exposing schema, query capabilities, and shortcut algorithms through the Model Context Protocol.

Details

Author
PsiACE
GitHub stars
28
Downloads
367
Categories
Other, AI

- Seamless access to NebulaGraph 3.x.
- Ready for graph exploration: Schema, Query, and shortcut algorithms.
- Follows the Model Context Protocol for LLM tooling integration.
- Simple CLI with support for environment variables and .env files.

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name Model Context Protocol Server for NebulaGraph
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

Install via pip (pip install nebulagraph-mcp-server) and configure using environment variables or a .env file with NEBULA_VERSION, NEBULA_HOST, NEBULA_PORT, NEBULA_USER, and NEBULA_PASSWORD. Then run the command-line tool, which automatically loads the configuration.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "model context protocol server for nebulagraph": {
            "nebulagraph-mcp-server": {
                "command": "npx",
                "args": [
                    "@modelcontextprotocol/inspector",
                    "\\"
                ]
            }
        }
    }
}

McpServers

{
    "nebulagraph-mcp-server": {
        "command": "npx",
        "args": [
            "@modelcontextprotocol/inspector",
            "\\"
        ]
    }
}

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_VERSION to 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.

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