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MCP Server for NebulaGraph

@PsiACE

代码仓库主页

基本信息

分类

其他

许可证

Apache-2.0

传输方式

stdio

作者

PsiACE

关于 MCP Server for NebulaGraph

Model Context Protocol Server for NebulaGraph 3.x

#agent#mcp#nebulagraph#llm#genai

MCP Server for NebulaGraph 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

MCP Server for NebulaGraph 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

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.

常见问题

1

What NebulaGraph version is supported?

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

2

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.

3

Does the server support NebulaGraph v5?

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

4

How do I install the server?

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

5

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.

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