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.

agentskillexchange Updated 28 repo stars

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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 to manage your Python projects (uv init).

Basic usage or getting-started notes:

Documentation

Source

agentskillexchange/skills/tree/main/skills/compose-router-evaluator-and-handoff-workflows-over-mcp-servers-with-mcp-agent commit 26fdc7620b

Frequently asked questions

npx skillmds@latest add agentskillexchange/compose-router-evaluator-and-handoff-workflows-over-mcp-serv