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Agent First Interface — scaffold CLI, MCP, and HTTP interfaces for agent-first tools.

Project description

afi-cli

Agent First Interface — scaffold tools whose primary consumer is an AI agent, not a human.

From a single source of truth, afi-cli generates three interface surfaces, each shaped by a different agent-ergonomic principle:

  • CLI — with a learn affordance so an agent can introspect the tool and author its own usage skill (not just read --help).
  • MCP server — a deliberately minimal menu, tuned for low surface area over maximal API coverage.
  • HTTP site — markdown pages plus a sitemap, navigable by any agent with a fetch tool.

Part of the AgentCulture OSS org — see docs/agentculture.md for the org, its paradigm, and how afi-cli is foundational to it. The design brief is in docs/agent-first.md.

Install

uv tool install afi-cli

Then afi --version should work on your PATH. uv tool install is the supported path — not pip install.

Usage

afi learn    # self-description for an agent reader
afi --help   # subcommand listing

Feature commands (scaffold generators for CLI / MCP / HTTP) are not implemented yet — the learn stub is a placeholder that demonstrates the agent-learnability principle.

Develop

uv sync                          # install + dev deps
uv run pytest -n auto -v         # tests
uv run afi learn                 # run the CLI from source
uv run pre-commit install        # enable lint hooks

See CLAUDE.md for design intent and full command reference.

License

MIT. © 2026 Ori Nachum / AgentCulture.

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