A Model Control Protocol (MCP) server that allows cross-checking responses from multiple LLM providers simultaneously.
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[](https://mseep.ai/app/lior-ps-multi-llm-cross-check-mcp-server) # Multi LLM Cross-Check MCP Server [](https://smithery.ai/server/@lior-ps/multi-llm-cross-check-mcp-server) A Model Control Protocol (MCP) server that allows cross-checking responses from multiple LLM providers simultaneously. This server integrates with Claude Desktop as an MCP server to provide a unified interface for querying different LLM APIs. ## Features - Query multiple LLM providers in parallel - Currently supports: - OpenAI (ChatGPT) - Anthropic (Claude) - Perplexity AI - Google (Gemini) - Asynchronous parallel processing for faster responses - Easy integration with Claude Desktop ## Prerequisites - Python 3.8 or higher - API keys for the LLM providers you want to use - uv package manager (install with `pip install uv`) ## Installation ### Installing via Smithery To install Multi LLM Cross-Check Server for Claude Desktop automatically via [Smithery](https://smithery.ai/server/@lior-ps/multi-llm-cross-check-mcp-server): ```bash npx -y @smithery/cli install @lior-ps/multi-llm-cross-check-mcp-server --client claude ``` ### Manual Installation 1. Clone this repository: ```bash git clone https://github.com/lior-ps/multi-llm-cross-check-mcp-server.git cd multi-llm-cross-check-mcp-server ``` 2. Initialize uv environment and install requirements: ```bash uv venv uv pip install -r requirements.txt ``` 3. Configure in Claude Desktop: Create a file named `claude_desktop_config.json` in your Claude Desktop configuration directory with the following content: ```json { "mcp_servers": [ { "command": "uv", "args": [ "--directory", "/multi-llm-cross-check-mcp-server", "run", "main.py" ], "env"…
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