Skip to main content
Glama
waldur

Waldur MCP Server

Official
by waldur

Waldur MCP server

Waldur MCP server enables integration between Waldur instance and Claude Desktop by implementing the Model Context Protocol (MCP). This allows Claude to interact with your Waldur instance directly.

Quickstart

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

  2. Install Python 3.13 or higher.

  3. Install uv package manager.

Installation

To install the package:

pip install waldur-mcp-server

Or with uv:

uv pip install waldur-mcp-server

Generate Waldur Token

  1. Log in to your Waldur instance

  2. Navigate to Username > Credentials > API Token

  3. Generate a new token with appropriate token lifetime - you'll need it for configuration

Claude Desktop MCP Server Configuration

On Windows: %APPDATA%\Claude\claude_desktop_config.json

On MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json

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

Debugging

On macOS, log files are located at ~/Library/Logs/Claude/mcp.log

If you encounter a spawn uvx ENOENT error, verify that your PATH environment variable includes the Python installation directory where uv is installed. Alternatively, you can specify the full path to uvx in the configuration file, for example: ~/Library/Frameworks/Python.framework/Versions/3.13/bin/uvx

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.

Common issues

  • Invalid token: Verify token permissions and expiration

  • Connection issues: Check WALDUR_API_URL is accessible

Install Server
A
license - permissive license
B
quality
D
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Related MCP Servers

  • A
    license
    -
    quality
    D
    maintenance
    MCP Server simplifies the implementation of the Model Context Protocol by providing a user-friendly API to create custom tools and manage server workflows efficiently.
    Last updated
    31
    4
    MIT
  • A
    license
    -
    quality
    D
    maintenance
    MCP Server provides a simpler API to interact with the Model Context Protocol by allowing users to define custom tools and services to streamline workflows and processes.
    Last updated
    28
    3
    MIT
  • F
    license
    -
    quality
    D
    maintenance
    The MCP Server for Weaviate facilitates integration with Weaviate using a customizable Python-based server, enabling interaction with Weaviate databases and OpenAI APIs via configurable URL and API keys.
    Last updated
    162

View all related MCP servers

Related MCP Connectors

  • A MCP server built for developers enabling Git based project management with project and personal…

  • An MCP server that let you interact with Cycloid.io Internal Development Portal and Platform

  • This MCP server provides seamless access to Malaysia's government open data, including datasets, w…

View all MCP Connectors

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/waldur/waldur-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server