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Waldur MCP server

@MCP-Mirror

リポジトリ

基本情報

カテゴリ

その他

トランスポート

stdio

作者

MCP-Mirror

Waldur MCP server について

Mirror of

#waldur#mcp-server#cloud-platform

Waldur MCP server 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": {
    "waldur_waldur-mcp-server": {
      "command": "uv",
      "args": [
        "sync"
      ]
    }
  }
}

Waldur MCP server 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。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Waldur MCP server?

The Waldur MCP server is an MCP-compliant server that connects to a Waldur instance through its API. It is configured via environment variables for the API URL and authentication token, and runs using the uv package manager. The server is distributed as a Python package on PyPI.

How to use Waldur MCP server?

Install Python 3.10 or higher and the uv package manager. Then configure Claude Desktop by adding the server to claude_desktop_config.json. For a published server, use the command uvx waldur-mcp-server with the environment variables WALDUR_API_URL and WALDUR_TOKEN. For development, use uv --directory <path> run waldur-mcp-server instead.

Key features of Waldur MCP server

  • Connects to a Waldur instance via its API.
  • Configured solely through environment variables.
  • Published and installable from PyPI.
  • Runs as a stdio MCP server.
  • Debuggable using the MCP Inspector.

Use cases of Waldur MCP server

—

よくある質問

1

What Python version is required?

Python 3.10 or higher is required.

2

How do I configure the server in Claude Desktop?

Add an entry to the `mcpServers` section of `claude_desktop_config.json` with the command `uvx` (published) or `uv` (development) and include the environment variables `WALDUR_API_URL` and `WALDUR_TOKEN`.

3

What environment variables are needed?

You must set `WALDUR_API_URL` (the API endpoint of your Waldur instance) and `WALDUR_TOKEN` (your authentication token).

4

How is the server published to PyPI?

Run `uv build` to create distributions, then `uv publish` to upload to PyPI. You can authenticate via a token (`--token` or `UV_PUBLISH_TOKEN`) or username/password.

5

How can I debug the server?

Use the MCP Inspector by running `npx @modelcontextprotocol/inspector uv --directory <path> run waldur-mcp-server` with the required environment variables set.

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