# mcp-heroku

> mcp-heroku — artik0din-mcp-heroku. Use this tool when you need to manage Heroku operations, such as deploying and scaling applications, directly from an AI assistant interface. It solves problems related to automating Heroku workflows, providing a complete CLI server for AI-driven development and deployment. With git capabilities, it accepts code repositories as input and outputs deployed applications on the Heroku platform.

Canonical page: https://skillsregistry.net/skills/artik0din-mcp-heroku  
JSON: https://api.skillsregistry.net/v1/skills/artik0din-mcp-heroku

## Description

Complete Heroku CLI MCP Server - all Heroku operations for AI assistants

## Trust

- **Trust score (0–1):** 0.97
- **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/artik0din/mcp-heroku)

## 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": "artik0din-mcp-heroku"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/artik0din-mcp-heroku` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/artik0din-mcp-heroku/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