NebulaGraph MCP server

Provides a lightweight server for seamless access to NebulaGraph 3.x graph databases, enabling graph schema exploration, query execution, and advanced graph-based operations like path finding and neighbor discovery.
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Setup instructions
Provider
PsiACE
Release date
Mar 11, 2025
Language
Python
Package
Stats
1.4K downloads
18 stars

The Model Context Protocol (MCP) server for NebulaGraph provides a standardized way to access and interact with NebulaGraph databases. This implementation follows the Model Context Protocol, making it easy to integrate with LLM tooling systems while enabling graph exploration capabilities including schema discovery, queries, and algorithm execution.

Installation

Installing the NebulaGraph MCP server is straightforward using pip:

pip install nebulagraph-mcp-server

Configuration

Before running the server, you need to set up the configuration. The server loads configuration from a .env file in the working directory.

Create a .env file with the following parameters:

NEBULA_VERSION=v3  # Currently 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>

Configuration Notes

  • NEBULA_VERSION must be set to v3 as this is the only supported version currently
  • You must provide valid connection details for your NebulaGraph server

Running the Server

Once configured, you can start the server by simply running:

nebulagraph-mcp-server

The server will automatically load the configuration from your .env file and establish a connection to your NebulaGraph instance.

Using with LLM Tooling

The NebulaGraph MCP server is designed to integrate with LLM tooling systems that support the Model Context Protocol. This enables capabilities like:

  • Schema exploration of your graph data
  • Running graph queries
  • Executing graph algorithms

Integration Example

You can use the inspector tool to test your MCP server:

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

This will validate that your server is correctly implementing the Model Context Protocol and is ready for integration with compatible systems.

Features Overview

  • NebulaGraph 3.x Support: Seamless connection to NebulaGraph databases
  • Graph Exploration: Access to schema information, query capabilities, and algorithm execution
  • MCP Compliance: Follows the Model Context Protocol for standardized integration
  • Simple Configuration: Easy setup with environment variables and .env file support

How to install this MCP server

For Claude Code

To add this MCP server to Claude Code, run this command in your terminal:

claude mcp add-json "nebulagraph-mcp-server" '{"command":"nebulagraph-mcp-server","args":[]}'

See the official Claude Code MCP documentation for more details.

For Cursor

There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json file so that it is available in all of your projects.

If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json file.

Adding an MCP server to Cursor globally

To add a global MCP server go to Cursor Settings > Tools & Integrations and click "New MCP Server".

When you click that button the ~/.cursor/mcp.json file will be opened and you can add your server like this:

{
    "mcpServers": {
        "nebulagraph-mcp-server": {
            "command": "nebulagraph-mcp-server",
            "args": []
        }
    }
}

Adding an MCP server to a project

To add an MCP server to a project you can create a new .cursor/mcp.json file or add it to the existing one. This will look exactly the same as the global MCP server example above.

How to use the MCP server

Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.

The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.

You can also explicitly ask the agent to use the tool by mentioning the tool name and describing what the function does.

For Claude Desktop

To add this MCP server to Claude Desktop:

1. Find your configuration file:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json
  • Linux: ~/.config/Claude/claude_desktop_config.json

2. Add this to your configuration file:

{
    "mcpServers": {
        "nebulagraph-mcp-server": {
            "command": "nebulagraph-mcp-server",
            "args": []
        }
    }
}

3. Restart Claude Desktop for the changes to take effect

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