# ansible-galaxy-mcp

> Use this tool when you need to automate Ansible playbook generation or integrate Ansible Galaxy collections into AI workflows, as it provides a server for discovering input/output contracts, including module arguments and return values. It solves problems of inconsistent or inaccurate playbook creation by providing a standardized interface for AI agents to access collection contracts. The tool accepts collection names and versions as input and outputs detailed contract information, making it ideal for use cases involving automated playbook generation or Ansible workflow optimization.

Canonical page: https://skillsregistry.net/skills/fabiendupont-mcp-ansible-galaxy  
JSON: https://api.skillsregistry.net/v1/skills/fabiendupont-mcp-ansible-galaxy

## Description

An MCP server that lets AI agents discover Ansible Galaxy collection input/output contracts, including module arguments, return values, and role facts, to help generate accurate playbooks.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ptecde0dbb)
- **Repository:** <https://github.com/fabiendupont/mcp-ansible-galaxy>

## 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": "fabiendupont-mcp-ansible-galaxy"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fabiendupont-mcp-ansible-galaxy` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fabiendupont-mcp-ansible-galaxy/pull`

---
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