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Agent Construct

by batteryshark
GitHub
Python
MIT License
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hybrid server

The server is able to function both locally and remotely, depending on the configuration or use case.

Integrations

  • 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

  1. Clone the repository:
    git clone https://github.com/yourusername/agent-construct.git cd agent-construct
  2. Install dependencies:
    pip install -r requirements.txt
  3. Set 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 production
  4. Run the server:
    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

This server cannot be installed

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security - not tested
A
license - permissive license
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quality - not tested

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.

  1. Core Features
    1. MCP Protocol Implementation
    2. Server Architecture
    3. Development Features
  2. Getting Started
    1. Prerequisites
    2. Installation
  3. Core Architecture
    1. MCP Protocol Features
      1. Tool Discovery
      2. Context Management
      3. Communication Patterns
    2. Future Enhancements
      1. Protocol Extensions
      2. Security
      3. Performance
      4. Development
    3. Contributing
      1. License
        1. Acknowledgements

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