Multi LLM Cross-Check
Cross-checks responses from multiple Large Language Model (LLM) providers simultaneously.
About
This Model Control Protocol (MCP) server provides a unified interface for querying various LLM APIs, enabling simultaneous cross-checking of responses from providers like OpenAI, Anthropic, Perplexity AI, and Google. It leverages asynchronous parallel processing for faster responses and integrates seamlessly with Claude Desktop, allowing users to easily compare and contrast outputs from different LLMs.
Key Features
- 7 GitHub stars
- Uses asynchronous parallel processing for faster responses.
- Queries multiple LLM providers in parallel.
- Supports OpenAI, Anthropic, Perplexity AI, and Google LLMs.
- Integrates with Claude Desktop as an MCP server.
- Returns responses in a structured JSON format.
Use Cases
- Validating the consistency and accuracy of LLM outputs.
- Comparing responses from different LLMs for a given prompt.
- Choosing the best LLM for a specific task based on its response.
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