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Registree

БесплатноНе проверен

Provides coding agents with a live registry of class definitions and constructor signatures from the codebase, enabling verification of calls before writing the

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Описание

Provides coding agents with a live registry of class definitions and constructor signatures from the codebase, enabling verification of calls before writing them to prevent hallucinated parameters.

README

test PyPI Python License: MIT

An anti-hallucination class registry for coding agents, served over MCP.

Coding agents guess constructor signatures from memory — a keyword that doesn't exist, a required argument left out — and you pay for the guess in a TypeError and a debugging round-trip. registree removes the guess: it walks your codebase with ast (never imports), builds a registry of every class definition, and serves it as MCP tools so the agent can verify the signature before writing the call.

Two principles run through every tool:

  • Names map to lists. A duplicated class name returns every definition; the server never silently picks the first match.
  • Honesty over confidence. An open-ended constructor (**kwargs, Pydantic extra=/alias=) reports its contract as unknowable, never as an empty list pretending to be an answer.

How it works

  1. Scan — an AST walk over your source tree extracts every class: constructor parameters (including **kwargs and positional-only), typed fields with defaults, inheritance, docstrings. Classification is transitive: a model routed through your project's own base class is still recognized as a Pydantic model.
  2. Serve — the registry is cached as JSON and exposed over MCP stdio. It maintains itself: generated on first use, regenerated whenever a scanned file is newer than the cache.
  3. Answer — the agent queries it at the moment of use, instead of guessing.

MCP tools

tool use it
get_signature before writing a constructor or method call — required args, accepted keywords, the class's methods (inherited included), every definition of a duplicated name
verify_snippet after drafting code — checks constructor calls against the registry
search_classes when unsure of the exact class name
list_duplicates which names need an explicit import to disambiguate
get_usages before a rename — every usage, including through import aliases (X as XDB)
server_info server status and registry size

Install

No install needed with uv — MCP clients launch it with uvx. For direct CLI use:

uv tool install registree   # or: pip install registree

Requires Python 3.12+.

Wire it into your agent

Any MCP client, JSON config form:

{
  "mcpServers": {
    "registree": {
      "command": "uvx",
      "args": ["registree", "serve", "--root", "/path/to/your/project"]
    }
  }
}

Omitting --root serves the directory the client launches the server in, which for most MCP clients is the project root.

Agent compatibility

The MCP tools work with any MCP client — Claude Code, Claude Desktop, Cursor, Windsurf, Cline, Zed, VS Code Copilot agent mode, Gemini CLI, and anything else that speaks MCP over stdio. Structured tool output degrades gracefully for clients that only read text content.

The hook adapters (hook-check, hook-regen) target Claude Code's hook protocol, which can intercept a pending file edit — or, opt-in, Python about to be run through a quoted shell heredoc — and hand the model advisory feedback before it lands, a deterministic checkpoint the MCP layer alone can't provide. See docs/claude-code.md.

That protocol is spreading: VS Code Copilot agent mode (Preview) reads the same format — same events, same stdin JSON, even .claude/settings.json — and the adapters tolerate its camelCase field names. Codex CLI and Gemini CLI use close-enough hook contracts that ports are straightforward. Agents whose hook systems can't intercept file edits pre-application (Cursor, Windsurf without model feedback, Zed with no hooks yet) still get the full MCP toolset — the hooks just add a deterministic layer where the platform supports one.

CLI

The same engine is available directly:

registree gen                 # build the registry
registree conflicts           # duplicate names: accepted layering vs smells
registree usages SomeClass    # every usage, alias-aware — run before renames
registree hook-check          # Claude Code PreToolUse adapter (advisory)
registree hook-regen          # Claude Code PostToolUse adapter (debounced)

registree conflicts exits non-zero only for duplicate names that are genuine smells — the accepted ORM/domain layered pair passes — so it is safe to wire into CI from day one.

The registry cache

Lives at .registree/registry.json by default — add .registree/ to your .gitignore. Every command that touches it accepts --registry-path to put it anywhere else; relative paths are anchored to the project root.

Development

uv sync            # creates .venv, installs deps + dev tools
uv run pytest      # includes a real stdio JSON-RPC handshake test
uv run mypy src tests
uv run ruff check .
uv run black --check .

Run the server directly (speaks MCP over stdio; exits on EOF):

uv run registree

License

MIT

from github.com/aucontraire/registree

Установка Registree

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/aucontraire/registree

FAQ

Registree MCP бесплатный?

Да, Registree MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для Registree?

Нет, Registree работает без API-ключей и переменных окружения.

Registree — hosted или self-hosted?

Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.

Как установить Registree в Claude Desktop, Claude Code или Cursor?

Открой Registree на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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