MCP-Hive

Example Use Cases

• 1

  Connect to multiple AI providers (e.g., Google, Groq, Gemini) through a single MCP-compatible desktop application.

• 2

  A packaged, standalone Python backend bundled with an Electron UI so deployment is simple for end users.

• 3

  Configurable MCP server connections and local development options (executable or Python interpreter) for testing integrations.

Description

MCP-Hive is an Electron-based desktop app that connects to various AI model providers using the Model Control Protocol and runs a Python backend packaged as a standalone executable. The backend is built with PyInstaller and can be bundled into the Electron app so end users get a single packaged application. Configuration is done via a .env file and a JSON config for MCP servers, making it easy to swap providers or run in development mode using the Python interpreter. It is useful for locally hosted or desktop-based agent systems that need to manage multiple model providers in a consistent way.