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Hand-written against tiny-brain v0.26.1; tool shapes may evolve until auto-generated reference lands.
When your AI tool connects to the tiny-brain MCP server (see Install), it gains these tools. You rarely call them yourself — the agent does — but knowing what each can do tells you what you can ask for in plain language.

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analyse

Detects the repo’s tech stack and writes .tiny-brain/analysis.json plus technology context files under .tiny-brain/tech/. Supports dryRun to preview without writing. (Analysis only — repo bootstrap is tiny-brain init.)

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as

The persona switcher: show the current persona, switch to another, rename, or import one from the library (library:<name>). Creating a brand-new persona requires an explicit confirmation step.

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manage_personas

Full persona management: list, create, update, show, and archive (personas are archived, never deleted). See Personas for the model.

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config

Preferences over MCP: list, get, set, reset, and show-sources (which layer — repo, global, default — each value comes from). Same data as tiny-brain config preferences.

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quality

Persistence for quality analysis: saving runs, listing history, comparing two runs (new / resolved / persistent issues), generating a Quality Improvement Plan from a run, and running the repo’s configured static analysers. The analysis itself is done by review agents — this tool is the storage and orchestration surface they write through.

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recommendations

tiny-brain recommends skills, agents, and hooks that fit your repo. This tool lists pending recommendations, accepts (installs) or dismisses them, restores dismissed ones, and shows what’s already been adopted (graduated).

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rules

“Golden rules” — non-negotiable directives that apply across every persona and session (e.g. “never use any types”). Supports add, list, show, and remove.