Overview
What is Multi LLM Cross-Check MCP Server?
A Model Control Protocol (MCP) server that allows cross-checking responses from multiple LLM providers simultaneously. It integrates with Claude Desktop as an MCP server to provide a unified interface for querying different LLM APIs.
How to use Multi LLM Cross-Check MCP Server?
Install Python 3.8+, uv, and the required API keys. Clone the repository, create a uv environment, and install dependencies. Configure the server in Claude Desktop by adding a JSON entry to claude_desktop_config.json with the command uv run main.py and environment variables for each provider's API key. Once configured, start a conversation in Claude Desktop and ask to “cross check with other LLMs” to use the cross_check tool.
Key features of Multi LLM Cross-Check MCP Server
- Query multiple LLM providers in parallel
- Supports OpenAI, Anthropic (Claude), Perplexity AI, and Google (Gemini)
- Asynchronous parallel processing for faster responses
- Easy integration with Claude Desktop
- Individual API errors do not affect other providers
- Only configured providers are queried (skips missing API keys)
Use cases of Multi LLM Cross-Check MCP Server
- Cross-check factual answers across multiple LLMs
- Compare response styles and biases from different providers
- Verify consistency of outputs for a given prompt
- Evaluate which provider gives the most accurate answer for a query
FAQ from Multi LLM Cross-Check MCP Server
Which LLM providers are supported?
OpenAI (ChatGPT), Anthropic (Claude), Perplexity AI, and Google (Gemini).
What happens if an API key is missing for a provider?
That provider is skipped and not queried. Only the providers with configured API keys are used.
Can an error from one provider affect the responses from others?
No, each provider’s response is independent. Errors with one provider do not affect the others.
What are the runtime dependencies?
Python 3.8 or higher and the uv package manager. Each desired provider also requires a
