Multi-LLM Cross-Check

Name: Multi-LLM Cross-Check
Author: lior-ps

Provides a unified interface for querying multiple LLM providers simultaneously, enabling side-by-side response comparison for fac

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Claude CodeClaude DesktopGeneric

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Multi LLM Cross-Check MCP Server provides a unified interface for querying multiple LLM providers simultaneously, allowing users to compare responses side-by-side. Built with Python using FastMCP, this server integrates with Claude Desktop and supports OpenAI, Anthropic, Perplexity AI, and Google Gemini APIs through asynchronous parallel processing. The implementation handles API authentication, request formatting, and error management for each provider, making it particularly valuable for users who want to cross-reference AI responses for fact-checking, gathering diverse perspectives, or evaluating different models' capabilities on the same prompt.

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Repository: https://github.com/lior-ps/multi-llm-cross-check-mcp-server

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