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Multi LLM Cross-Check MCP Server

@MCP-Mirror

代码仓库

基本信息

分类

AI 与智能体

许可证

MIT license

传输方式

stdio

作者

MCP-Mirror

关于 Multi LLM Cross-Check MCP Server

Mirror of

Multi LLM Cross-Check MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "lior-ps_multi-llm-cross-check-mcp-server": {
      "command": "uv",
      "args": [
        "venv"
      ]
    }
  }
}

Multi LLM Cross-Check MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Multi LLM Cross-Check MCP Server?

A Model Control Protocol (MCP) server that allows cross-checking responses from multiple LLM providers simultaneously. It integrates with Claude Desktop as an MCP server to provide a unified interface for querying different LLM APIs.

How to use Multi LLM Cross-Check MCP Server?

Install Python 3.8+, uv, and the required API keys. Clone the repository, create a uv environment, and install dependencies. Configure the server in Claude Desktop by adding a JSON entry to claude_desktop_config.json with the command uv run main.py and environment variables for each provider's API key. Once configured, start a conversation in Claude Desktop and ask to “cross check with other LLMs” to use the cross_check tool.

Key features of Multi LLM Cross-Check MCP Server

  • Query multiple LLM providers in parallel
  • Supports OpenAI, Anthropic (Claude), Perplexity AI, and Google (Gemini)
  • Asynchronous parallel processing for faster responses
  • Easy integration with Claude Desktop
  • Individual API errors do not affect other providers
  • Only configured providers are queried (skips missing API keys)

Use cases of Multi LLM Cross-Check MCP Server

  • Cross-check factual answers across multiple LLMs
  • Compare response styles and biases from different providers
  • Verify consistency of outputs for a given prompt
  • Evaluate which provider gives the most accurate answer for a query

常见问题

1

Which LLM providers are supported?

OpenAI (ChatGPT), Anthropic (Claude), Perplexity AI, and Google (Gemini).

2

What happens if an API key is missing for a provider?

That provider is skipped and not queried. Only the providers with configured API keys are used.

3

Can an error from one provider affect the responses from others?

No, each provider’s response is independent. Errors with one provider do not affect the others.

4

What are the runtime dependencies?

Python 3.8 or higher and the uv package manager. Each desired provider also requires a

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