agent_construct
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Agent Construct is a Model Context Protocol (MCP) server implementation that standardizes how AI applications access tools and context.
Agent Construct acts as a central hub that manages tool discovery, execution, and context management for AI applications. Built on the Model Context Protocol specification, it provides a robust and scalable way to expose capabilities to AI models through a standardized protocol. The server is designed with a FastAPI backend, offering high-performance asynchronous operations, real-time updates via Server-Sent Events (SSE), and a modular design that separates core protocol handling from tool implementations. It includes features like a tool decorator system for easy tool exposure, comprehensive logging and monitoring, and an extensive test suite for protocol compliance. Agent Construct is also agent framework friendly, with examples for custom clients or frameworks like smolagents.
Features
- MCP Protocol Implementation: Full MCP compliance with dynamic tool registration and standardized communication.
- Server Architecture: High-performance FastAPI backend with event streaming and modular design.
- Development Features: Includes a tool decorator system, logging, configuration management, and testing framework.