Inspired by The Matrix's Construct, the server references the film and adopts its concept of providing instant access to tools and equipment
Agent Construct
"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. Just as the Construct in The Matrix provided operators with instant access to any equipment they needed, Agent Construct provides a standardized interface for AI models to access tools and data through the MCP specification.
Built on the Model Context Protocol specification, it acts as a central hub that manages tool discovery, execution, and context management for AI applications. It provides a robust and scalable way to expose capabilities to AI models through a standardized protocol. It also provides a simplified configuration and tool structure to make adding new capabilities a breeze! An example tool for searching the web with Gemini is included.
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: Let the server handle your 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
Clone the repository:
git clone https://github.com/yourusername/agent-construct.git cd agent-constructInstall dependencies:
pip install -r requirements.txtSet up environment variables: Create a
.env
file in the root directory with the following variables:# 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 productionRun the server:
python -m mcp_server
Core Architecture
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
This server cannot be installed
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
An MCP server implementation that standardizes how AI applications access tools and context, providing a central hub that manages tool discovery, execution, and context management with a simplified configuration system.
- Core Features
- Getting Started
- Core Architecture
- MCP Protocol Features
- Future Enhancements
- Contributing
- License
- Acknowledgements
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