MCP Server for NebulaGraph

@PsiACE

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基本情報

カテゴリ

その他

ライセンス

Apache-2.0

トランスポート

stdio

作者

PsiACE

MCP Server for NebulaGraph について

Model Context Protocol Server for NebulaGraph 3.x

#agent #mcp#nebulagraph#llm #genai

MCP Server for NebulaGraph の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

MCP Server for NebulaGraph のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。

概要

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.

よくある質問

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.

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