# Heroku

> Use this tool when you need to integrate Model Context Protocol (MCP) clients with Heroku services, enabling seamless communication and data exchange between MCP applications and Heroku's cloud platform. It solves problems of compatibility and connectivity, allowing for efficient deployment and management of MCP-based models on Heroku. With inputs from MCP clients and outputs to Heroku services, it provides a server-side implementation for streamlined integration.

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

## Description

A server implementation of the Model Context Protocol (MCP) for Heroku, allowing integration between MCP clients and Heroku services.

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/heroku)
- **Repository:** <https://github.com/heroku/heroku-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": "heroku"
    }
  }
}
```

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