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Multi Llm Cross Check Mcp Server
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.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
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.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
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 namedclaude_desktop_config.jsonin your Claude Desktop configuration directory with the following content: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:
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.
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.











