"Heroku" matching MCP servers:

Let's your agent access the heroku platform

Provides comprehensive Heroku application management through the Heroku Platform API for AI assistants using the Model Context Protocol. It enables users to scale dynos, view deployment history, access logs, and manage environment variables through natural language.

Enables AI models to interact with web pages through structured accessibility snapshots using Playwright. Deployable on Heroku for easy cloud hosting.

A token-efficient MCP server for the Heroku Platform API that uses a search-and-execute pattern to minimize context window overhead. It enables secure app management through just-in-time endpoint discovery and built-in safety guardrails for API mutations.

An MCP server for securely executing Python code, supporting STDIO, Streamable HTTP, and SSE transports, with easy deployment on Heroku.

Enables AI coding agents to check repository deploy readiness, deploy apps to your own cloud (AWS, Google Cloud, Azure, DigitalOcean), and migrate apps from platforms like Heroku, Railway, Render, or Vercel with rollback.