Multi-Model MCP for Cursor

Example Use Cases

• 1

  Compare responses from multiple LLM providers without switching tools.

• 2

  Run multi-model AI research workflows inside Cursor Agent mode.

• 3

  Diverse LLM perspectives to reconcile into a single decision-ready output.

Description

This MCP server enables Cursor Agent mode to call a single tool that queries up to three large language models—OpenAI's GPT-4o, Google's Gemini, and Anthropic's Claude Sonnet—in parallel. It facilitates multi-model AI research by providing diverse perspectives and supports a full compare–reconcile–audit workflow through an included multi-model-research skill. Users configure their own API keys and models, allowing seamless integration and comparison of multiple LLM providers within Cursor.