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Multi LLM Cross-Check MCP Server

@MCP-Mirror

リポジトリ

基本情報

カテゴリ

AI とエージェント

ライセンス

MIT license

トランスポート

stdio

作者

MCP-Mirror

Multi LLM Cross-Check MCP Server について

Mirror of

Multi LLM Cross-Check MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

Multi LLM Cross-Check MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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

よくある質問

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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