MCP Agent
Simplifies building AI agents using Model Context Protocol and composable workflow patterns.
About
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
- 3,571 GitHub stars
- Manages lifecycle of MCP server connections
- Supports Augmented LLMs with tool access via Agents
- Model-agnostic Swarm pattern for multi-agent orchestration
- Provides implementations for common agent patterns like Parallel, Router, and Orchestrator-Workers
- Implements composable workflow patterns
Use Cases
- Building multi-agent collaborative workflows
- Creating human-in-the-loop AI systems
- Developing RAG (Retrieval-Augmented Generation) pipelines
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