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Waldur_waldur-MCP-server

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2025-02-04

Espejo de https: //github.com/waldur/waldur-mcp-server

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Waldur MCP server

Quickstart

  1. Install Claude Desktop for your platform from the Claude Desktop releases page

  2. Install Python 3.10 or higher.

  3. Install uv package manager.

Claude Desktop MCP Server Configuration

On Windows: \AppData\Roaming\Claude\claude_desktop_config.json

Development/Unpublished Servers Configuration ``` "mcpServers": { "waldur-mcp-server": { "command": "uv", "args": [ "--directory", "C:\\waldur_service", "run", "waldur-mcp-server" ], "env": { "WALDUR_API_URL": "https://your-waldur-instance/api", "WALDUR_TOKEN": "your-token" } } } ```
Published Servers Configuration ``` "mcpServers": { "waldur-mcp-server": { "command": "uvx", "args": [ "waldur-mcp-server" ], "env": { "WALDUR_API_URL": "https://your-waldur-instance/api", "WALDUR_TOKEN": "your-token" } } } ```

Development

Building and Publishing

To prepare the package for distribution:

  1. Sync dependencies and update lockfile:
uv sync
  1. Build package distributions:
uv build

This will create source and wheel distributions in the dist/ directory.

  1. Publish to PyPI:
uv publish

Note: You'll need to set PyPI credentials via environment variables or command flags:

  • Token: --token or UV_PUBLISH_TOKEN
  • Or username/password: --username/UV_PUBLISH_USERNAME and --password/UV_PUBLISH_PASSWORD

Debugging

Since MCP servers run over stdio, debugging can be challenging. For the best debugging experience, we strongly recommend using the MCP Inspector.

You can launch the MCP Inspector via npm with this command:

npx @modelcontextprotocol/inspector uv --directory C:\\waldur_service run waldur-mcp-server

When debugging, you'll need to set the required environment variables. Upon launching, the Inspector will display a URL that you can access in your browser to begin debugging.

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    Reviews

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    Avatar
    user_BALXIQiY
    2025-04-15

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