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MCP server · Science

Multi LLM Cross Check MCP Server

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

Unclaimed science
39Low

Scored 6 months ago · breakdown

About Multi LLM Cross Check MCP Server

Multi LLM Cross Check MCP Server is an MCP server in the Science category: a Model Control Protocol (MCP) server that allows cross-checking responses from multiple LLM providers simultaneously.

Install

From source
git clone https://github.com/lior-ps/multi-llm-cross-check-mcp-server

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README

MseeP.ai Security Assessment Badge

Multi LLM Cross-Check MCP Server

smithery badge 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:

    {
      "mcp_servers": [
        {
          "command": "uv",
          "args": [
            "--directory",
            "/multi-llm-cross-check-mcp-server",
            "run",
            "main.py"
          ],
          "env": {
            "OPENAI_API_KEY": "your_openai_key",  // Get from https://platform.openai.com/api-keys
            "ANTHROPIC_API_KEY": "your_anthropic_key",  // Get from https://console.anthropic.com/account/keys
            "PERPLEXITY_API_KEY": "your_perplexity_key",  // Get from https://www.perplexity.ai/settings/api
            "GEMINI_API_KEY": "your_gemini_key"  // Get from https://makersuite.google.com/app/apikey
          }
        }
      ]
    }
    

    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:

{
    "ChatGPT": { ... },
    "Claude": { ... },
    "Perplexity": { ... },
    "Gemini": { ... }
}

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.

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About Multi LLM Cross Check MCP Server

How do I install Multi LLM Cross Check MCP Server?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Multi LLM Cross Check MCP Server safe to use with an AI agent?

Its trust score is 39 out of 100 (low). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Multi LLM Cross Check MCP Server still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.