ConsultingAgents MCP Server

@MatthewPDingle

代码仓库

基本信息

分类

AI 与智能体

许可证

MIT

传输方式

stdio

作者

MatthewPDingle

关于 ConsultingAgents MCP Server

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 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

ConsultingAgents 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 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.

常见问题

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.

What prerequisites are needed?

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

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.

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".

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`.

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