Other MCP Server · MODEL CONTEXT PROTOCOL

lior ps multi llm cross check mcp server

A Model Control Protocol (MCP) server that allows cross-checking responses from multiple LLM providers simultaneously

WHAT IT CONNECTS

What lior ps multi llm cross check mcp server gives an AI Agent

  • 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
  • Python 3.8 or higher
  • API keys for the LLM providers you want to use
  • uv package manager (install with `pip install uv`)
  • Clone this repository:
  • Initialize uv environment and install requirements:
  • Configure in Claude Desktop:
  • You only need to add the API keys for the LLM providers you want to use. The server will skip any providers without configured API keys.
  • You may need to put the full path to the uv executable in the command field. You can get this by running `which uv` on MacOS/Linux or `where uv` on Windows.
  • The server will automatically start when you open Claude Desktop
  • You can use the `cross_check` tool in your conversations by asking to "cross check with other LLMs"
  • Provide a prompt, and it will return responses from all configured LLM providers
  • If an API key is not provided for a specific LLM, that provider will be skipped
  • API errors are caught and returned in the response
  • Each LLM's response is independent, so errors with one provider won't affect others

SECURITY

An MCP listing is not a security review

An MCP server may receive model context, credentials, local files, or permission to call external systems. Review its code, requested environment variables, network behavior, package provenance, and maintenance status before connecting it to an agent.