heroku-mcp-server
by andyciggy
The Heroku Platform MCP Server facilitates interaction between large language models (LLMs) and the Heroku Platform. It provides tools and capabilities that enable LLMs to read, manage, and operate Heroku Platform resources.
Last updated: N/A
What is heroku-mcp-server?
The Heroku Platform MCP Server is a specialized Model Context Protocol (MCP) implementation designed to enable seamless interaction between large language models (LLMs) and the Heroku Platform. It provides a robust set of tools and capabilities that enable LLMs to read, manage, and operate Heroku Platform resources.
How to use heroku-mcp-server?
To use the Heroku Platform MCP Server, you need to generate a Heroku authorization token and configure your LLM development environment (Claude Desktop, Zed, Cursor, Windsurf, Cline, VSCode, Trae) with the provided snippets, including the generated token as the HEROKU_API_KEY. Then, you can use the available tools to manage your Heroku applications, processes, add-ons, and more.
Key features of heroku-mcp-server
Direct interaction with Heroku Platform resources through LLM-driven tools
Secure and authenticated access to Heroku Platform APIs, leveraging the Heroku CLI
Natural language interface for Heroku Platform interactions
Support for Common Runtime, Cedar Private and Shield Spaces, and Fir Private Spaces
Use cases of heroku-mcp-server
Automating Heroku application deployments
Scaling dynos based on real-time insights from LLMs
Managing add-ons through natural language commands
Troubleshooting application issues by analyzing logs with LLMs
FAQ from heroku-mcp-server
How do I generate a Heroku authorization token?
How do I generate a Heroku authorization token?
You can generate a token using the Heroku CLI (heroku authorizations:create or heroku auth:token) or through the Heroku Dashboard in your account settings.
Which LLM development environments are supported?
Which LLM development environments are supported?
The server can be configured to work with Claude Desktop, Zed, Cursor, Windsurf, Cline, VSCode, and Trae.
What kind of Heroku resources can I manage with this server?
What kind of Heroku resources can I manage with this server?
You can manage applications, dynos, add-ons, pipelines, teams, spaces, and PostgreSQL databases.
How can I debug the Heroku Platform MCP Server?
How can I debug the Heroku Platform MCP Server?
You can use the MCP inspector or the VS Code Run and Debug function for debugging. Instructions for both methods are provided in the README.
Is this project production ready?
Is this project production ready?
The Heroku Platform MCP Server is currently in early development. Functionality and tools may evolve, and feedback and contributions are welcome.