
multi llm cross check mcp server
A Model Control Protocol (MCP) server that allows cross-checking responses from multiple LLM providers simultaneously
Repository Info
About This Server
A Model Control Protocol (MCP) server that allows cross-checking responses from multiple LLM providers simultaneously
Model Context Protocol (MCP) - This server can be integrated with AI applications to provide additional context and capabilities, enabling enhanced AI interactions and functionality.
Documentation
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:
npx -y @smithery/cli install @lior-ps/multi-llm-cross-check-mcp-server --client claude
Manual Installation
- Clone this repository:
git clone https://github.com/lior-ps/multi-llm-cross-check-mcp-server.git
cd multi-llm-cross-check-mcp-server
- Initialize uv environment and install requirements:
uv venv
uv pip install -r requirements.txt
-
Configure in Claude Desktop: Create a file named
claude_desktop_config.jsonin 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:
- 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 uvon MacOS/Linux orwhere uvon Windows.
Using the MCP Server
Once configured:
- The server will automatically start when you open Claude Desktop
- You can use the
cross_checktool in your conversations by asking to "cross check with other LLMs" - 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
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.
Quick Start
Clone the repository
git clone https://github.com/lior-ps/multi-llm-cross-check-mcp-serverInstall dependencies
cd multi-llm-cross-check-mcp-server
npm installFollow the documentation
Check the repository's README.md file for specific installation and usage instructions.
Repository Details
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