Heroku MCP Code Execution - Python

Name: Heroku MCP Code Execution - Python
Author: heroku

@heroku

Repository

About Heroku MCP Code Execution - Python

MCP (model context protocol) server for running python code.

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp-code-exec-python": {
      "command": "python",
      "args": [
        "example_clients/streamable_http_client.py",
        "mcp",
        "call_tool",
        "--args",
        "{"
      ]
    }
  }
}

Tools

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Overview

What is Heroku MCP Code Execution - Python?

This MCP server enables Python code execution on the Heroku platform. It supports Streamable HTTP, SSE, and STDIO transports, and is designed for developers who need to run Python code execution tasks through the Model Context Protocol.

How to use Heroku MCP Code Execution - Python?

Deploy via the one-click Heroku button or manually using the Heroku CLI. Set required environment variables (API_KEY, STDIO_MODE_ONLY, REMOTE_SERVER_TRANSPORT_MODULE), then use MCP clients (STDIO or HTTP/SSE) to call the code_exec_python tool with code and optional packages arguments.

Key features of Heroku MCP Code Execution - Python

Executes Python code with optional pip package installation
Supports Streamable HTTP, SSE, and STDIO transports
Deploys to Heroku via one-click or manual setup
API key authentication for access control
Configurable STDIO-only mode for code execution isolation

Use cases of Heroku MCP Code Execution - Python

Run Python code execution tasks via MCP from AI assistants
Test and debug Python code in isolated Heroku one-off dynos
Integrate Python code execution into MCP-based agent workflows

FAQ from Heroku MCP Code Execution - Python

What transports does the server support?

It supports Streamable HTTP, SSE, and STDIO transports, for both local and remote testing.

What is the STDIO_MODE_ONLY configuration for?

When set to true, only STDIO-based communication is allowed, enhancing security and code execution isolation. It is recommended for non-development environments.

Can I install additional Python packages before execution

Comments

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