Heroku MCP Server

Heroku Platform MCP Server

Local serverstdioTypeScript

What is the Heroku MCP server?

Heroku Platform MCP Server. That is what the heroku mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.

The short version

The Heroku Platform MCP Server is a specialized Model Context Protocol (MCP) implementation designed to facilitate seamless interaction between large language models (LLMs) and the Heroku Platform. This server provides a robust set of tools and capabilities that enable LLMs to read, manage, and operate Heroku Platform resources.

The tools it exposes

The server publishes 2 tools. What each one is for:

  • HEROKU_API_KEY — Your Heroku authorization token. Required for authentication with the Heroku Platform
  • MCP_SERVER_REQUEST_TIMEOUT — Timeout in milliseconds for command execution. Defaults to 15000 (15 seconds) if not set

What it needs from you

Configuration is passed through the environment: HEROKU_API_KEY, DEBUG, MCP_SERVER_REQUEST_TIMEOUT, YOUR_HEROKU_AUTH_TOKEN. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.

Getting it running

@heroku/mcp-server on npm is all you need. Most clients run it directly, so configuration is a few lines and a restart.

How it compares

This sits in the developer tooling group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. Heroku's toolset — HEROKU_API_KEY, MCP_SERVER_REQUEST_TIMEOUT — is a fair guide to whether it matches your workflow. It is maintained by heroku; worth a glance at recent repository activity before you build anything load-bearing on it.

We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.

Things to watch

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
  • Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.

Available tools

ToolWhat it does
HEROKU_API_KEYYour Heroku authorization token. Required for authentication with the Heroku Platform.
MCP_SERVER_REQUEST_TIMEOUTTimeout in milliseconds for command execution. Defaults to 15000 (15 seconds) if not set.

How to install the Heroku MCP server

{
  "mcpServers": {
    "heroku": {
      "command": "heroku mcp:start"
    }
  }
}

Configuration as documented by the project. Restart the client after saving.

Configuration

VariableDescriptionRequired
HEROKU_API_KEYCredential the server authenticates with.Yes
DEBUGConfiguration value read at startup.Optional
MCP_SERVER_REQUEST_TIMEOUTConfiguration value read at startup.Optional
YOUR_HEROKU_AUTH_TOKENCredential the server authenticates with.Yes

Example prompts to try

  • Use Heroku to HEROKU API KEY.
  • Use Heroku to MCP SERVER REQUEST TIMEOUT.

Frequently asked questions

It connects Heroku to MCP-compatible AI assistants such as Claude and Cursor, exposing 2 tools (HEROKU_API_KEY, MCP_SERVER_REQUEST_TIMEOUT) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with Heroku directly.