AIエージェント
fast-agent
Code, build and evaluate LLM agents with full MCP, Skills, ACP and A2A support.
★ 3.9k スターApache-2.0
ガイドを見る →fastmcpは、PrefectHQが公開しているオープンソースのAIエージェントプロジェクトです（GitHub: PrefectHQ/fastmcp）。GitHubスターは28,003、フォークは2,444で、Apache-2.0ライセンスの下で公開されています。GitHubでの最終更新は2026年10月8日です。
The fast, Pythonic way to build MCP servers and clients.
Write down the task or workflow you want the agent to handle.
Clone the repository and read the README's prerequisites.
Install dependencies and configure keys or endpoints.
Run the sample script and check the output against the docs.
Decorators turn functions into MCP tools.
Covers both ends of the protocol.
Minutes from function to working server.
Maintained under the Prefect umbrella.
Tracks the Model Context Protocol.
Open and commercially friendly.
Download the source and move into the project folder.
git clone https://github.com/PrefectHQ/fastmcp.git
cd fastmcpCreate 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.pyThe project lives at PrefectHQ/fastmcp and has attracted 2444 forks. Browse its commit history and contributor list for a sense of maintenance pace.
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.
FastMCP prioritizes developer speed with a high-level API; the official SDK stays closer to the spec. Start with FastMCP for productivity, drop to the SDK when you need fine control.
The README and the official docs site are the fastest path: run the quickstart example first, then adapt it to your use case.
Code, build and evaluate LLM agents with full MCP, Skills, ACP and A2A support.
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