# ansible-mcp-server

> ansible-mcp-server — infra-mdsystems-ansible-mcp-server. Use this tool when you need to interact with an Ansible repository using natural language, enabling inventory inspection, syntax checking, and playbook execution with customizable safety controls. It solves problems related to automation and configuration management, providing a user-friendly interface for inputs like natural language commands and outputs like execution results and inventory data. Ideal for use cases where ease of use and flexibility are crucial, such as devops and automation workflows.

Canonical page: https://skillsregistry.net/skills/infra-mdsystems-ansible-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/infra-mdsystems-ansible-mcp-server

## Description

MCP server that enables natural language interaction with an Ansible repository, providing tools for inventory inspection, syntax checking, and playbook execution with configurable safety controls.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/krw3lmxnbh)
- **Repository:** <https://github.com/infra-mdsystems/ansible_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": "infra-mdsystems-ansible-mcp-server"
    }
  }
}
```

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