@abhishekbhakat
基本信息
暂无概览
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"phone-a-friend-mcp-server": {
"command": "uv",
"args": [
"pip",
"install",
"-e",
"."
]
}
}
}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。
Phone-a-Friend MCP Server is an AI-to-AI consultation system that enables one AI to “phone a friend” (another AI) for critical thinking, long context reasoning, and complex problem solving via OpenRouter. It creates a two-step process: packaging context for an external AI to analyze, then extracting actionable insights for the primary AI. It’s designed for AI systems that need to leverage other AI models as consultants for difficult tasks.
Install by cloning the repository and running uv pip install -e .. Set one or more API keys via environment variables (OPENROUTER_API_KEY recommended, or OPENAI_API_KEY, ANTHROPIC_API_KEY, GOOGLE_API_KEY). Start the server with phone-a-friend-mcp-server. To use with Claude Desktop, add a configuration entry to claude_desktop_config.json. The primary AI invokes the phone_a_friend tool with all_related_context, task, and optional any_additional_context.
phone_a_friend MCP tool.It packages all relevant context and reasoning instructions into a structured two‑step workflow, then extracts insights into a usable format for the primary AI. The external AI has no memory of previous calls, so the quality depends entirely on the completeness of the context provided.
Python with `uv` and `pip`. All Python dependencies are installed via `uv pip install -e .`. API keys must be set as environment variables. No additional databases or external services are required besides the chosen AI provider.
All context is sent to the configured AI provider (OpenRouter, OpenAI, Anthropic, or Google) for analysis. The server itself does not persist any data; processing is done in‑memory per request.
It is not intended for simple factual questions, basic reasoning tasks, quick responses, or well‑defined procedural tasks. The external AI has no memory of prior conversations, so every call starts fresh. The quality of the reasoning depends heavily on the quality and completeness of the context provided.
The server uses the Model Context Protocol (MCP) – likely stdio transport when run locally. Authentication is handled via API keys passed as environment variables (OPENROUTER_API_KEY, OPENAI_API_KEY, etc.). No built‑in HTTP or authentication layers beyond that.
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