# openstack-mcp

> openstack-mcp — abhishekambad-leapswitch-openstack-mcp. Use this tool when you need to manage and inspect OpenStack clouds, including listing instances and checking quotas. It solves problems related to cloud resource monitoring and automation, providing read-only access by default and optional write operations for server creation and deletion. The tool accepts cloud credentials as input and outputs instance information, quotas, and console logs, making it ideal for use cases requiring cloud infrastructure management and troubleshooting.

Canonical page: https://skillsregistry.net/skills/abhishekambad-leapswitch-openstack-mcp  
JSON: https://api.skillsregistry.net/v1/skills/abhishekambad-leapswitch-openstack-mcp

## Description

Enables AI assistants to inspect and manage OpenStack clouds, including listing instances, checking quotas, and retrieving console logs. It supports opt-in write operations for creating and deleting servers, with a read-only default.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ko9xinvfal)
- **Repository:** <https://github.com/abhishekambad-leapswitch/openstack-mcp>

## 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": "abhishekambad-leapswitch-openstack-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/abhishekambad-leapswitch-openstack-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/abhishekambad-leapswitch-openstack-mcp/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