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ConsultingAgents MCP Server

@MatthewPDingle

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

トランスポート

stdio

作者

MatthewPDingle

ConsultingAgents MCP Server について

An MCP server that interfaces with OpenAI, Google, and Anthropic's APIs to give Claude Code "coworkers" to help it on difficult problems.

ConsultingAgents 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": {
    "consulting-agents-mcp": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        "mcp_venv"
      ]
    }
  }
}

ConsultingAgents 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 ConsultingAgents MCP Server?

A Model Context Protocol (MCP) server that allows Claude Code to consult with additional AI agents for code and problem analysis. It provides access to four expert consultants—Darren (OpenAI), Sonny (Anthropic), Sergey (OpenAI with web search), and Gemma (Google Gemini with repository analysis)—enabling multi-model perspective on coding problems.

How to use ConsultingAgents MCP Server?

Clone the repository, create a Python 3.8+ virtual environment, install dependencies from requirements.txt, set up OPENAI_API_KEY, ANTHROPIC_API_KEY, and GOOGLE_API_KEY in a .env file, then start the server with ./start_mcp_server.sh. Register with Claude Code using claude mcp add ConsultingAgents /absolute/path/to/start_mcp_server.sh and launch Claude Code with claude --mcp-debug to access the four consulting tools.

Key features of ConsultingAgents MCP Server

  • Four AI agent experts: Darren, Sonny, Sergey, Gemma.
  • Supports stdio and HTTP/SSE transport protocols.
  • Agents use latest models: o3-mini, Claude 3.7 Sonnet, GPT-4o, Gemini 2.5 Pro.
  • Gemma analyzes entire repositories via a 1M token context window.
  • Seamless integration with Claude Code via MCP.

Use cases of ConsultingAgents MCP Server

  • Multi-model code review and debugging.
  • Web search for documentation and examples (Sergey).
  • In-depth repository analysis for feature planning (Gemma).
  • Getting a second opinion from a different AI model.
  • Generating comprehensive development plans from GitHub repositories.

よくある質問

1

What agents are available and what models do they use?

Darren uses OpenAI o3-mini, Sonny uses Anthropic Claude 3.7 Sonnet, Sergey uses GPT-4o with web search, and Gemma uses Google Gemini 2.5 Pro with a 1M token context window.

2

What prerequisites are needed?

Python 3.8+, OpenAI API key, Anthropic API key, Google API key, and Claude Code CLI for integration.

3

How do I integrate the server with Claude Code?

Register the MCP server using `claude mcp add ConsultingAgents /absolute/path/to/start_mcp_server.sh`, then start Claude Code with `claude --mcp-debug` to use the tools.

4

What transport options are available?

The server supports stdio (default for direct Claude Code integration) and HTTP/SSE transport. You can set the `MCP_TRANSPORT` environment variable to "http" or "sse".

5

How do I update to a new version?

Pull the latest code, restart the server, remove the old MCP entry with `claude mcp remove ConsultingAgents`, and re-add with the absolute path to `start_mcp_server.sh`.

コメント

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