AI Agents & FastMCP with Claude Integration

This repository contains educational materials and implementation code for understanding AI agents and building a FastMCP agent with Claude integration.

Sessions Covered

1. Introduction to AI Agents: Theory & Architecture (Mar 16)

   • Fundamentals of AI agents
   • Agent design principles and patterns
   • Decision-making frameworks
   • Agent environments and capabilities

2. Building AI Agents: FastMCP with Claude Integration (Mar 30)

   • FastMCP architecture and components
   • Claude AI integration techniques
   • Autonomous task execution implementation
   • Complex reasoning and planning capabilities

Project Structure

/theory /diagrams /concepts /examples /implementation /fastmcp-core /claude-integration /demos /resources /papers /tutorials /references

Getting Started

1. Clone this repository:

git clone https://github.com/BenjiCoder24/ai-agents-fastmcp.git

2. Set up your environment:

cd ai-agents-fastmcp
pip install -r requirements.txt

3. Configure your API keys:

ANTHROPIC_API_KEY=your_claude_api_key_here

4. Run the example agent:

python examples/basic_agent.py

Key Concepts Covered

• Agent architectures (reactive, deliberative, hybrid)
• Agent environments and constraints
• FastMCP (Fast Multi-Context Planning) methodology
• Claude API integration for reasoning tasks
• Task decomposition and planning
• Autonomous execution frameworks
• Evaluation metrics for agent performance

Technologies Used

• Python 3.9+
• Anthropic Claude API
• FastMCP framework
• Cursor IDE
• Visualization tools for agent behavior

Resources

• Anthropic Claude Documentation
• Autonomous Agent Papers
• FastMCP Reference Implementation

License

This project is licensed under the MIT License - see the LICENSE file for details.