# coolify-mcp

> coolify-mcp — syntropika-coolify-mcp. Use this tool when you need to manage Coolify from AI agents, enabling API discovery, composed workflows, and dry-run request plans through a local MCP server. It solves problems related to workflow automation and API management, accepting git inputs and producing executable request plans as output. Ideal for use cases requiring automated workflow composition and testing.

Canonical page: https://skillsregistry.net/skills/syntropika-coolify-mcp  
JSON: https://api.skillsregistry.net/v1/skills/syntropika-coolify-mcp

## Description

Manage Coolify from AI agents. A local MCP server with API discovery, composed workflows, and dry-run request plans.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/syntropika/coolify-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": "syntropika-coolify-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/syntropika-coolify-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/syntropika-coolify-mcp/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