whois
About
A minimal example of an MCP agent and server that can be used to ask an AI about who someone is
Details
- License
- Apache-2.0 license
Explore
- 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
Install dependencies with:
pip install -r requirements.txt
Ensure these keys are set in your environment for secure API access:
export ANTHROPIC_API_KEY='your_anthropic_api_key'
export OPENAI_API_KEY='your_openai_api_key'
export GEMINI_API_KEY='your_gemini_api_key'
export LLAMA_API_URL='http://localhost:11434/api/generate' # For Ollama Llama3 model
A minimal example of an MCP agent and server that can be used to ask an AI about who someone is.
Installation
Install dependencies with:pip install -r requirements.txt
Environment Variables
Ensure these keys are set in your environment for secure API access:export ANTHROPIC_API_KEY='your_anthropic_api_key'
export OPENAI_API_KEY='your_openai_api_key'
export GEMINI_API_KEY='your_gemini_api_key'
export LLAMA_API_URL='http://localhost:11434/api/generate' # For Ollama Llama3 model
Usage
1. Run the Server:uvicorn server:app --reload
2. Run the Agent (example queries):
python agent.py "Albert Einstein" openai
python agent.py "Richard Feynman" anthropic
python agent.py "Nikola Tesla" llama
python agent.py "Stephen Hawking" gemini
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