Multi Llm Cross Check
FreeNot checkedA Model Control Protocol (MCP) server that allows cross-checking responses from multiple LLM providers simultaneously
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A Model Control Protocol (MCP) server that allows cross-checking responses from multiple LLM providers simultaneously
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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
- 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.
Installing Multi Llm Cross Check
This server has no published package — it is built from source. Open the repository and follow its README.
▸ github.com/lior-ps/multi-llm-cross-check-mcp-serverFAQ
Is Multi Llm Cross Check MCP free?
Yes, Multi Llm Cross Check MCP is free — one-click install via Unyly at no cost.
Does Multi Llm Cross Check need an API key?
No, Multi Llm Cross Check runs without API keys or environment variables.
Is Multi Llm Cross Check hosted or self-hosted?
Self-hosted: the server runs locally on your machine via the install command above.
How do I install Multi Llm Cross Check in Claude Desktop, Claude Code or Cursor?
Open Multi Llm Cross Check on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
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