Model Context Protocol Server for NebulaGraph

Name: Model Context Protocol Server for NebulaGraph
Author: MCP-Mirror

@MCP-Mirror

代码仓库

关于 Model Context Protocol Server for NebulaGraph

Mirror of

#mcp-server #nebula-graph #model-context-protocol

基本信息

分类

其他

许可证

Apache-2.0 license

运行时

python

传输方式

stdio

发布者

MCP-Mirror

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Model Context Protocol Server for NebulaGraph?

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 databases via natural language or LLM-driven workflows.

How to use Model Context Protocol Server for NebulaGraph?

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.

Key features of Model Context Protocol Server for NebulaGraph

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.

Use cases of Model Context Protocol Server for NebulaGraph

Connect an LLM agent to a NebulaGraph database for natural language graph queries.
Explore graph schemas and run predefined algorithms without writing low-level code.
Power AI‑driven graph analysis tools that require real‑time graph data access.

FAQ from Model Context Protocol Server for NebulaGraph

Which version of NebulaGraph is supported?

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

What are the runtime requirements?

Python 3.x and the nebulagraph-mcp-server package (installed via pip). A running NebulaGraph server accessible at the configured host and port is required.

How do I configure authentication?

Provide the NebulaGraph username and password via the NEBULA_USER and NEBULA_PASSWORD environment variables or in the .env file.

Does this server support MCP transports besides stdio?

The README does not specify alternative transports. It is designed to follow the Model Context Protocol, and the examples use the inspector tool which typically uses stdio.