Agent Construct: A Multi-Tool MCP Server for AI Applications

"We can load anything, from clothing to equipment, weapons, training simulations, anything we need." - The Matrix (1999)

Agent Construct is a Model Context Protocol (MCP) server implementation that standardizes how AI applications access tools and context. It provides a robust and scalable way to expose capabilities to AI models through a standardized protocol.

Core Features

MCP Protocol Implementation

• Full MCP Compliance: Complete implementation of the Model Context Protocol specification
• Tool Discovery: Dynamic tool registration and discovery mechanism
• Standardized Communication: Implements MCP's communication patterns for tool interaction

Server Architecture

• FastAPI Backend: High-performance asynchronous server implementation
• Event Streaming: Real-time updates via Server-Sent Events (SSE)
• Modular Design: Clean separation between core protocol handling and tool implementations
• Handler System: Extensible request handler architecture for different MCP operations
• Tool-Based Rate Limiting: Configurable per-tool rate limiting

Development Features

• Tool Decorator System: Simple way to expose new tools via MCP
• Logging & Monitoring: Comprehensive logging system for debugging and monitoring
• Configuration Management: Environment-based configuration with secure defaults
• Testing Framework: Extensive test suite for protocol compliance
• Agent Framework Friendly: Included implementation examples for custom clients or frameworks like smolagents

Getting Started

Prerequisites

• Python 3.8 or higher
• pip package manager

Installation

1. Clone the repository:
   shell git clone https://github.com/yourusername/agent-construct.git cd agent-construct
2. Install dependencies:
   shell pip install -r requirements.txt
3. Set up environment variables: Create a .env file in the root directory with the following variables:
   ```env
   # Server Configuration
   SERVER_HOST=localhost
   SERVER_PORT=8000

# MCP Protocol Settings
MCP_VERSION=1.0
TOOL_DISCOVERY_ENABLED=true

# Security Settings
ENABLE_AUTH=false # Enable for production
4. Run the server:shell
python -m mcp_server
```

Core Architecture

mcp_server/
├── core/               # Core MCP protocol implementation
│   ├── server.py      # Main server implementation
│   ├── protocol.py    # MCP protocol handlers
│   └── context.py     # Context management
├── handlers/          # MCP operation handlers
│   ├── discovery.py   # Tool discovery
│   ├── execution.py   # Tool execution
│   └── context.py     # Context operations
├── utils/            # Utility functions
│   ├── logging.py    # Logging configuration
│   ├── security.py   # Security utilities
│   └── config.py     # Configuration management
└── __main__.py       # Server entry point

MCP Protocol Features

Tool Discovery

• Dynamic tool registration system
• Tool capability advertisement
• Version management
• Tool metadata and documentation

Context Management

• Efficient context storage and retrieval
• Context scoping and isolation
• Real-time context updates
• Context persistence options

Communication Patterns

• Synchronous request/response
• Server-sent events for updates
• Streaming responses
• Error handling and recovery

Future Enhancements

Protocol Extensions

• [ ] Advanced context management features
• [ ] Custom protocol extensions
• [ ] Plugin system for protocol handlers

Security

• [ ] Authentication and authorization
• [ ] Tool access control
• [ ] Rate limiting and quota management
• [ ] Audit logging
• [ ] End-to-end encryption

Performance

• [ ] Tool execution optimization
• [ ] Context caching
• [ ] Load balancing
• [ ] Request queuing
• [ ] Resource management

Development

• [ ] Interactive protocol explorer
• [ ] Tool development SDK
• [ ] Protocol compliance testing tools
• [ ] Performance monitoring dashboard

Contributing

Contributions are welcome! Please feel free to submit a Pull Request. For major changes, please open an issue first to discuss what you would like to change.

License

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

Acknowledgements

• Model Context Protocol for the protocol specification
• FastAPI for the excellent web framework
• The open-source community for various tools and libraries used in this project