whois
About
A minimal example of an MCP agent and server that can be used to ask an AI about who someone is
Details
- Author
- PalNilsson
- Downloads
- 141
- Categories
- Other
Jump to
- 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 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).
whois
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
Sign in to leave a review
Use Google, GitHub, or an email account so ratings stay tied to real people.
No reviews posted yet.
