Build effective agents with Model Context Protocol using simple, composable patterns.

Examples | Building Effective Agents | MCP

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Overview

mcp-agent is a simple, composable framework to build agents using Model Context Protocol.

Inspiration: Anthropic announced 2 foundational updates for AI application developers:

1. Model Context Protocol - a standardized interface to let any software be accessible to AI assistants via MCP servers.
2. Building Effective Agents - a seminal writeup on simple, composable patterns for building production-ready AI agents.

mcp-agent puts these two foundational pieces into an AI application framework:

1. It handles the pesky business of managing the lifecycle of MCP server connections so you don't have to.
2. It implements every pattern described in Building Effective Agents, and does so in a composable way, allowing you to chain these patterns together.
3. Bonus: It implements OpenAI's Swarm pattern for multi-agent orchestration, but in a model-agnostic way.

Altogether, this is the simplest and easiest way to build robust agent applications. Much like MCP, this project is in early development. We welcome all kinds of contributions, feedback and your help in growing this to become a new standard.