what is Waldur MCP Server?
Waldur MCP Server is a cloud platform service that allows users to manage and configure their cloud resources efficiently.
how to use Waldur MCP Server?
To use Waldur MCP Server, install Claude Desktop, set up Python, and configure the server with the necessary environment variables and commands as outlined in the documentation.
key features of Waldur MCP Server?
- Easy installation and configuration process
- Support for multiple server configurations (development and published)
- Integration with Waldur API for resource management
use cases of Waldur MCP Server?
- Managing cloud resources for applications
- Configuring and deploying cloud services
- Debugging cloud server issues using MCP Inspector
FAQ from Waldur MCP Server?
- What is required to run Waldur MCP Server?
You need Claude Desktop, Python 3.10 or higher, and the uv package manager.
- Can I debug my server easily?
Yes, using the MCP Inspector provides a better debugging experience.
- Is there a way to publish my package?
Yes, you can publish your package to PyPI after building it.
Waldur MCP server
Quickstart
-
Install Claude Desktop for your platform from the Claude Desktop releases page
-
Install Python 3.10 or higher.
-
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Development/Unpublished Servers Configuration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:
- Sync dependencies and update lockfile:
uv sync
- Build package distributions:
uv build
This will create source and wheel distributions in the dist/ directory.
- Publish to PyPI:
uv publish
Note: You'll need to set PyPI credentials via environment variables or command flags:
- Token:
--tokenorUV_PUBLISH_TOKEN - Or username/password:
--username/UV_PUBLISH_USERNAMEand--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.
