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pythonanywhere/pythonanywhere-mcp-server

by Various

🐍 🏠 - MCP server implementation for PythonAnywhere cloud platform.

P

MCP

pythonanywhere/pythonanywhere-mcp-server

Added 1 June 2026

Overview

An MCP server that connects AI agents to the PythonAnywhere cloud platform. It implements the Model Context Protocol to allow agents to manage PythonAnywhere resources programmatically. Built in Python, it enables automated deployment and management tasks.

Best for

Best for
Developers building AI agents that need to manage PythonAnywhere environments.

Use cases

  • Deploy Python web apps from AI agent commands
  • Manage PythonAnywhere consoles and files via MCP
  • Integrate PythonAnywhere into AI workflow automation

How to use

Tools exposed

  • uv
  • uvx

Tested with

Claude Desktop, Claude Code, Cursor, GitHub Copilot in PyCharm

Example client config

{\n  "mcpServers": {\n    "pythonanywhere-mcp-server": {\n      "type": "stdio",\n      "command": "uvx",\n      "args": ["pythonanywhere-mcp-server"],\n      "env": {\n        "API_TOKEN": "yourpythonanywhereapitoken",\n        "PYTHONANYWHERE_USERNAME": "yourpythonanywhereusername"\n      }\n    }\n  }\n}

Notes

An MCP server that connects AI agents to the PythonAnywhere cloud platform. It implements the Model Context Protocol to allow agents to manage PythonAnywhere resources programmatically. Built in Python, it enables automated deployment and management tasks.

15 stars on GitHub. Last updated 2026-03-01. Licensed MIT.

Use cases

  • Deploy Python web apps from AI agent commands
  • Manage PythonAnywhere consoles and files via MCP
  • Integrate PythonAnywhere into AI workflow automation

Pros

  • Open source and community maintained
  • Leverages standard MCP protocol for interoperability
  • Lightweight Python implementation

Cons

  • Low star count indicates limited community adoption
  • Requires PythonAnywhere account and API credentials
  • Documentation may be sparse due to early stage

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Open source and community maintained
  • Leverages standard MCP protocol for interoperability
  • Lightweight Python implementation

Cons

  • Low star count indicates limited community adoption
  • Requires PythonAnywhere account and API credentials
  • Documentation may be sparse due to early stage

Pairs with

Other entries in the index that connect to this one. Click through to see the chain.

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