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Multi Llm Cross Check Mcp Server

@lior-pson a year ago
10 MIT
FreeCommunity
AI Systems
A Model Control Protocol (MCP) server that allows cross-checking responses from multiple LLM providers simultaneously

Overview

What is Multi Llm Cross Check Mcp Server

The multi-llm-cross-check-mcp-server is a Model Control Protocol (MCP) server that enables simultaneous cross-checking of responses from various Large Language Model (LLM) providers, offering a unified interface for querying different LLM APIs.

Use cases

Use cases include validating responses from different LLMs for consistency, developing applications that require multi-provider support, and conducting comparative analysis of LLM outputs across different platforms.

How to use

To use the multi-llm-cross-check-mcp-server, clone the repository, set up a virtual environment, install the required packages, and configure the server in Claude Desktop with the necessary API keys for the LLM providers you wish to use.

Key features

Key features include parallel querying of multiple LLM providers, support for OpenAI (ChatGPT), Anthropic (Claude), Perplexity AI, and Google (Gemini), asynchronous processing for faster responses, and easy integration with Claude Desktop.

Where to use

This MCP server can be used in various fields such as natural language processing, AI research, software development, and any application requiring diverse LLM responses for enhanced accuracy and reliability.

Content

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Multi LLM Cross-Check MCP Server

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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:

npx -y @smithery/cli install @lior-ps/multi-llm-cross-check-mcp-server --client claude

Manual Installation

  1. Clone this repository:
git clone https://github.com/lior-ps/multi-llm-cross-check-mcp-server.git
cd multi-llm-cross-check-mcp-server
  1. Initialize uv environment and install requirements:
uv venv
uv pip install -r requirements.txt
  1. Configure in Claude Desktop:
    Create a file named claude_desktop_config.json in your Claude Desktop configuration directory with the following content:

    Notes:

    1. 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.
    2. 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.

Using the MCP Server

Once configured:

  1. The server will automatically start when you open Claude Desktop
  2. You can use the cross_check tool in your conversations by asking to “cross check with other LLMs”
  3. Provide a prompt, and it will return responses from all configured LLM providers

API Response Format

The server returns a dictionary with responses from each LLM provider:

Error Handling

  • 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

Verified on MseeP

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Tools

No tools

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