ИИ-агенты
arcade-mcp
A Python framework for building MCP servers and agent tools.
★ 1,0 тыс. звёздMIT
Смотреть руководство →mcp-agent — проект с открытым исходным кодом из категории «ИИ-агенты» от lastmile-ai (lastmile-ai/mcp-agent на GitHub). У него 8 570 звёзд на GitHub и 893 форка, он распространяется по лицензии Apache-2.0 и последний раз обновлялся на GitHub 25 января 2026.
Simple workflow patterns for building effective agents on MCP.
Start with one concrete task rather than a grand architecture.
Clone the repo and check the examples folder for a quickstart.
Install packages, set environment variables, and point it at your model.
Execute the demo workflow, then adapt it to your own data.
Chains, routers, and orchestrators.
Tools come through the protocol.
Patterns, not a heavy framework.
Fits Python agent codebases.
Focused on what works.
Open and commercially friendly.
Download the source and move into the project folder.
git clone https://github.com/lastmile-ai/mcp-agent.git
cd mcp-agentCreate a virtual environment and install the requirements.
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txtTreat these as starting points - the README documents the exact commands.
python examples/quickstart.pylastmile-ai/mcp-agent is its home on GitHub, with 893 forks so far. The contributors tab and recent commits show how actively it is maintained.
Yes - it is Apache-2.0 licensed, so it is free for commercial use with attribution.
The code is free; you bring your own model provider, which may be a paid API or a local model.
mcp-agent is deliberately small - patterns over platform. If you outgrow it, graduate to a full framework; if you value simplicity, it may be all you need.
Follow the README quickstart, then browse the examples directory for patterns that match what you want to build.
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