Compose Router Evaluator And Handoff Workflows Over Mcp Servers With Mcp Agent

---
name: "Compose router, evaluator, and handoff workflows over MCP servers with mcp-agent"
slug: "compose-router-evaluator-and-handoff-workflows-over-mcp-servers-with-mcp-agent"
description: "Connect LLMs to MCP servers through composable patterns like router, evaluator-optimizer, and orchestrator flows without hand-managing server lifecycles."
github_stars: 8276
verification: "security_reviewed"
source: "https://github.com/lastmile-ai/mcp-agent"
author: "LastMile AI"
publisher_type: "open_source_project"
category: "Templates & Workflows"
framework: "MCP"
tool_ecosystem:
  github_repo: "lastmile-ai/mcp-agent"
  github_stars: 8276
  npm_package: "mcp-agent"
  npm_weekly_downloads: 29247
---

# Compose router, evaluator, and handoff workflows over MCP servers with mcp-agent

Connect LLMs to MCP servers through composable patterns like router, evaluator-optimizer, and orchestrator flows without hand-managing server lifecycles.

## Prerequisites

Python runtime, MCP servers, LLM API key, optional Temporal for durable workflows

## Installation

Use the upstream install or setup path that matches your environment:
- uv init
- uv add "mcp-agent[openai]"
- uv run main.py
- uv add "mcp-agent"

Requirements and caveats from upstream:
- python
- We recommend using [uv](https://docs.astral.sh/uv/) to manage your Python projects (uv init).

Basic usage or getting-started notes:
- <a id="minimal-example"></a>
- **Minimal example**
- async with app.run():

- Source: https://github.com/lastmile-ai/mcp-agent
- Extracted from upstream docs: https://raw.githubusercontent.com/lastmile-ai/mcp-agent/HEAD/README.md

## Documentation

- https://docs.mcp-agent.com/

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/compose-router-evaluator-and-handoff-workflows-over-mcp-servers-with-mcp-agent/)