Agent Construct

by batteryshark

Agent Construct is a Model Context Protocol (MCP) server implementation that standardizes how AI applications access tools and context. It provides a standardized interface for AI models to access tools and data through the MCP specification.

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What is Agent Construct?

Agent Construct is a Model Context Protocol (MCP) server that acts as a central hub for managing tool discovery, execution, and context management for AI applications. It's built on the Model Context Protocol specification and provides a robust and scalable way to expose capabilities to AI models through a standardized protocol.

How to use Agent Construct?

To use Agent Construct, clone the repository, install dependencies using pip install -r requirements.txt, set up environment variables in a .env file, and run the server using python -m mcp_server.

Key features of Agent Construct

Full MCP Compliance
Dynamic tool registration and discovery
FastAPI Backend
Real-time updates via Server-Sent Events (SSE)
Tool Decorator System
Tool-Based Rate Limiting

Use cases of Agent Construct

Providing AI models with access to various tools
Managing context for AI applications
Standardizing tool interaction for AI agents
Building custom AI frameworks
Creating AI-powered workflows

FAQ from Agent Construct

What is the Model Context Protocol (MCP)?

The Model Context Protocol (MCP) is a specification that standardizes how AI applications access tools and context.

What are the prerequisites for running Agent Construct?

You need Python 3.8 or higher and the pip package manager.

How do I add a new tool to Agent Construct?

You can use the Tool Decorator System to easily expose new tools via MCP.

How does Agent Construct handle rate limiting?

Agent Construct provides configurable per-tool rate limiting.

Is Agent Construct secure?

Security features like authentication, authorization, and rate limiting are planned for future enhancements.