Model Context Protocol Server for NebulaGraph

by MCP-Mirror

233 downloads
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About

This MCP server provides seamless access to NebulaGraph 3.x, enabling LLM tooling systems to perform graph exploration, schema queries, and shortcut algorithms through the Model Context Protocol. It is designed for developers and AI agents who need to interact with NebulaGraph…

Details

Author
MCP-Mirror
Downloads
233
Categories
Other

- Direct access to NebulaGraph 3.x.
- Supports schema exploration and graph querying.
- Includes a few shortcut algorithms.
- Follows the Model Context Protocol for LLM integration.
- Simple CLI with environment variable and .env file support.

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 install nebulagraph-mcp-server. Configure connection by setting environment variables or using a .env file with NEBULA_VERSION=v3, NEBULA_HOST, NEBULA_PORT, NEBULA_USER, and NEBULA_PASSWORD. Then run the server with the nebulagraph-mcp-server command. For development, use npx @modelcontextprotocol/inspector uv run nebulagraph-mcp-server.

Claude Desktop / Cursor

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

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

McpServers

{
    "PsiACE_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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