Build and evaluate MCP-capable agents with fast-agent 是做什麼的?
Scaffold, run, inspect, and evaluate model-agnostic agents that connect to MCP servers, skills, shell tools, and workflow packs.
Prerequisites
Python, uv, fast-agent-mcp, target model provider, optional MCP servers
Installation
Use the upstream install or setup path that matches your environment:
- uv tool install -U fast-agent-mcp
- uv pip install fast-agent-mcp # install fast-agent!
- uv run agent.py # run your first agent
- uv run agent.py --model='o3-mini?reasoning=low' # specify a model
Requirements and caveats from upstream:
- Start by installing the uv package manager for Python. Then:
- Windows Users - there are a couple of configuration changes needed for the Filesystem and Docker MCP Servers - necessary changes are detailed within the configuration files.
Basic usage or getting-started notes:
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To start an interactive session with shell support, install uv and run
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Enter a shell with !, or run shell commands e.g. ! cd web && npm run build.
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fast-agent --model opus -x --smart
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Extracted from upstream docs: https://raw.githubusercontent.com/evalstate/fast-agent/HEAD/README.md