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whois MCP Server

@PalNilsson

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ライセンス

Apache-2.0 license

トランスポート

stdio

作者

PalNilsson

whois MCP Server について

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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このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

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whois MCP Server のツール

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概要

What is whois?

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.

How to use whois?

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).

Key features of whois

  • Supports multiple AI providers: Anthropic, OpenAI, Gemini, Llama (Ollama)
  • Minimal MCP agent and server implementation
  • Queries an AI by person name
  • Uses environment variables for secure API key management
  • Runs as a lightweight ASGI server via uvicorn

Use cases of whois

  • Asking an AI for a short biography of any person
  • Testing and prototyping MCP agent workflows
  • Comparing answers about the same person from different AI providers
  • Learning how to build a minimal MCP-based client–server setup

よくある質問

1

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`).

2

Which AI providers are supported?

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`).

3

How do I run the server?

After installing dependencies, run `uvicorn server:app --reload` in the project directory.

4

How do I run the agent?

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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