What API keys are needed?
You need `ANTHROPIC_API_KEY`, `OPENAI_API_KEY`, and `GEMINI_API_KEY` set in your environment. For Llama support, also set `LLAMA_API_URL` (defaults to `http://localhost:11434/api/generate`).
@PalNilsson
基本信息
A minimal example of an MCP agent and server that can be used to ask an AI about who someone is
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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。
whois is a minimal MCP (Model Context Protocol) agent and server that lets you ask an AI about a person’s identity. It is designed as a simple example for developers exploring MCP-based agent architectures.
Install the dependencies with pip install -r requirements.txt, then set the required API keys in your environment (ANTHROPIC_API_KEY, OPENAI_API_KEY, GEMINI_API_KEY, and optionally LLAMA_API_URL). Start the server with uvicorn server:app --reload, then run the agent with python agent.py "<name>" <provider> (e.g., python agent.py "Albert Einstein" openai).
You need `ANTHROPIC_API_KEY`, `OPENAI_API_KEY`, and `GEMINI_API_KEY` set in your environment. For Llama support, also set `LLAMA_API_URL` (defaults to `http://localhost:11434/api/generate`).
The agent supports Anthropic, OpenAI, Gemini, and Llama (via Ollama). The provider is specified as the second argument when running `agent.py` (e.g., `anthropic`, `openai`, `gemini`, `llama`).
After installing dependencies, run `uvicorn server:app --reload` in the project directory.
Execute `python agent.py "<name>" <provider>` where `<name>` is the person you want to ask about and `<provider>` is one of `openai`, `anthropic`, `gemini`, or `llama`.
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