# Coolify MCP Server

> Use this tool when you need to manage and monitor self-hosted infrastructure, control applications and databases, and deploy services using natural language through the Model Context Protocol. It solves problems related to infrastructure management, service deployment, and application control, providing a comprehensive set of tools for efficient management. The Coolify MCP Server takes natural language inputs and outputs controlled applications, databases, and servers, making it ideal for use cases requiring streamlined infrastructure management.

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

## Description

Enables management of Coolify instances to control applications, databases, and servers through the Model Context Protocol. It provides a comprehensive set of tools for deploying services and monitoring self-hosted infrastructure using natural language.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zx6jrd5sf5)
- **Repository:** <https://github.com/JoshuaRileyDev/coolify-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": "joshuarileydev-coolify-mcp-server"
    }
  }
}
```

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