# Waldur

> Use this tool when you need to integrate AI capabilities with cloud resource management, enabling automated interactions with the Waldur platform for provisioning, monitoring, and billing across multiple providers. It solves problems such as complex API management and limited automation in cloud workflows, accepting natural language commands as input and producing orchestrated cloud resource outputs. Ideal for organizations seeking to enhance their cloud management with AI-driven efficiency and optimization.

Canonical page: https://skillsregistry.net/skills/waldur  
JSON: https://api.skillsregistry.net/v1/skills/waldur

## Description

This Waldur MCP server, developed by OpenNode LLC, integrates the Model Context Protocol with the Waldur cloud management platform. Built with Python and leveraging the MCP SDK, it enables AI agents to interact with Waldur's API for cloud resource management and orchestration. The implementation focuses on providing a bridge between natural language commands and Waldur's functionality, allowing operations like provisioning, monitoring, and billing of cloud resources across multiple providers. It's particularly useful for organizations looking to enhance their cloud management workflows with AI capabilities, enabling use cases such as automated resource allocation, intelligent cost optimization, and AI-assisted cloud governance without directly dealing with the complexities of Waldur's API.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/waldur)
- **Repository:** <https://github.com/waldur/waldur-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "waldur"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/waldur` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/waldur/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt