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Model Context Protocol Server for NebulaGraph

Model Context Protocol Server for NebulaGraph

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pypi.orgDatabases29Updated 84w ago
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About Model Context Protocol Server for NebulaGraph

An MCP server for NebulaGraph 3.x graph databases. It suits setups where LLM tooling needs to explore graph data, covering schema, queries and a few shortcut algorithms.

Key features

  1. 01Access to NebulaGraph 3.x
  2. 02Schema and query operations
  3. 03A few shortcut graph algorithms
  4. 04Configuration via environment variables and .env files
  5. 05Command-line interface

Use cases

  1. 01Letting LLM tools query NebulaGraph graph data
  2. 02Exploring the schema of a graph database

MCP support

This project is an MCP server that provides access to NebulaGraph for LLM tooling systems that support MCP.

#agent#mcp#nebulagraph#llm#genai#mcp-server#nebula-graph#model-context-protocol

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "nebulagraph": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/inspector"
      ]
    }
  }
}
Run commandnpx -y @modelcontextprotocol/inspector

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@modelcontextprotocol/inspector

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

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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