Simplifies building AI agents using Model Context Protocol and composable workflow patterns.
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MCP Agent provides a lightweight framework for constructing robust and controllable AI agents leveraging the Model Context Protocol (MCP). It streamlines the management of MCP server connections and implements composable workflow patterns inspired by Anthropic's 'Building Effective Agents' research. The framework also includes a model-agnostic implementation of OpenAI's Swarm pattern for multi-agent orchestration, facilitating the development of sophisticated agent applications.
Key Features
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02Manages lifecycle of MCP server connections
03Supports Augmented LLMs with tool access via Agents
04Model-agnostic Swarm pattern for multi-agent orchestration
05Provides implementations for common agent patterns like Parallel, Router, and Orchestrator-Workers
