Model Context Protocol Server for NebulaGraph

Name: Model Context Protocol Server for NebulaGraph
Author: PsiACE

@PsiACE

Repository Homepage

About Model Context Protocol Server for NebulaGraph

Model Context Protocol Server for NebulaGraph 3.x

#agent #mcp #nebulagraph #llm #genai

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

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

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Model Context Protocol Server for NebulaGraph?

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.

How to use Model Context Protocol Server for NebulaGraph?

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.

Key features of Model Context Protocol Server for NebulaGraph

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.

Use cases of Model Context Protocol Server for NebulaGraph

Querying NebulaGraph graph schemas via an LLM agent.
Running graph queries and algorithms through natural language.
Exploring graph topology with shortcut algorithm tools.

FAQ from Model Context Protocol Server for NebulaGraph

What NebulaGraph version is supported?

Only NebulaGraph v3 is currently supported. The NEBULA_VERSION environment variable must be set to v3.

How do I configure the connection to NebulaGraph?

Set environment variables NEBULA_HOST, NEBULA_PORT, NEBULA_USER, NEBULA_PASSWORD, and NEBULA_VERSION in a .env file or in your shell. The server reads these at startup.

Does the server support NebulaGraph v5?

No. Only v3 is supported until the project is updated for v5 compatibility.

How do I install the server?

Install via PyPI with pip install nebulagraph-mcp-server.

What is the Model Context Protocol?

The Model Context Protocol (MCP) is a standard for integrating tools with LLM systems. This server implements MCP to allow LLMs to interact with NebulaGraph.

Comments

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