Introduction
mcp-agent is a lightweight, composable framework centered on the Model Context Protocol (MCP). It provides modular workflows and utilities that simplify building multi-agent applications that can orchestrate MCP servers and tool calls.
Key Features
- Implements common agent workflows: Parallel, Router, Evaluator-Optimizer, Swarm, and others.
- Manages MCP server lifecycle and tool exposure, supports persistent connections and signaling.
- Ships with examples for Streamlit, Claude Desktop, Marimo, and Python scripts.
Use Cases
- Building multi-agent orchestration and task pipelines for production applications.
- Integrating external tools and services via MCP into LLM workflows.
- Reusing workflow patterns for experimentation, CI checks, or automated evaluation.
Technical Highlights
- Core primitives: MCPApp, Agent, AugmentedLLM with clear patterns for composability.
- Supports self-hosted monitoring and example UIs; integrates with common Python tooling.
- Apache-2.0 licensed, active community, comprehensive examples and docs.