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Aethis exposes a set of MCP tools and 2 prompts, plus higher-level skills and a CLI. Most tools evaluate published rules and need no key; the authoring tools are invite-only. The live split is on Capabilities and access. This section is for two readers: the AI coding agent that will call the tools, and the human driving that agent from Claude Code, Cursor, Windsurf, or another MCP-compatible client. If you are the human: connect the MCP server once, restart your editor, then ask your coding agent to use Aethis in plain English. The agent can run decisions, inspect traces, draft tests, create rulesets, and drive the authoring loop for you. If you are an agent or you’re telling one to integrate Aethis: read Onboarding. Start with public setup and a traced decision, then follow the links to reviewed authoring and versioned replay. If you want to compare interfaces (MCP vs CLI vs SDK vs REST): see Which interface to use. If you want a worked end-to-end task: see Recipes — each one is framed for agent execution with parallel CLI and MCP code paths.
Decision tools (aethis_decide, aethis_schema, aethis_explain, aethis_next_question) are public — no API key required. Authoring is in private beta; request access at aethis.ai/developer-access.