heroku

Official

Local

Signed

Overview

The heroku-mcp-server is a Model Context Protocol (MCP) server that enables AI assistants and agents to interact directly with the Heroku platform through a structured, AI-friendly interface. It allows AI-driven workflows to inspect applications, manage deployments, review configuration, and reason about runtime behavior without switching tools or manually using the Heroku CLI or dashboard.

This server is ideal for application operations, deployment automation, troubleshooting, and platform management workflows on Heroku.

Transport

stdio

Tools

list_apps
get_app_info
create_app
rename_app
transfer_app
deploy_to_heroku
deploy_one_off_dyno
ps_list
ps_scale
ps_restart
list_addons
get_addon_info
create_addon
maintenance_on
maintenance_off
get_app_logs
pipelines_create
pipelines_promote
pipelines_list
pipelines_info
list_teams
list_private_spaces
pg_psql
pg_info
pg_ps
pg_locks
pg_outliers
pg_credentials
pg_kill
pg_maintenance
pg_backups
pg_upgrade

Key Capabilities

Application lifecycle management — Create, rename, transfer, and inspect Heroku apps programmatically.
Deployment workflows — Support AI-driven deploys, promotions, and operational actions.
Runtime insight — Reason about dynos, process scaling, and application health.
Configuration and add-ons — Inspect and manage add-ons and environment-related context.
Operational visibility — Access logs and platform metadata for debugging and analysis.

How It Works

The heroku MCP server runs as an MCP service and connects to Heroku using an authenticated API token with appropriate scopes. AI clients communicate with the server over the MCP protocol to request application context or perform platform actions as part of larger reasoning workflows.

The server handles authentication, request execution, and response normalization when interacting with Heroku’s APIs, returning structured results that AI assistants can reason over directly. This abstraction removes the need for clients to manage Heroku-specific API details while ensuring all actions respect Heroku’s permission and access model.

By exposing Heroku’s platform surface through MCP, the server enables conversational and automated workflows such as application inspection, deployment analysis, and operational troubleshooting — all inside a single AI-driven environment.