Dingdawg Loop
БесплатноНе проверенDingDawg Loop Protocol (DDLP) — safe scheduled AI agents with governance gates. Every loop execution is verified, receipted, and fail-closed. MCP-native, works
Описание
DingDawg Loop Protocol (DDLP) — safe scheduled AI agents with governance gates. Every loop execution is verified, receipted, and fail-closed. MCP-native, works with CrewAI, LangGraph, Claude Code, Cursor.
README
DingDawg Loop Protocol (DDLP) — safe scheduled AI agents with governance gates.
Every loop execution is verified, receipted, and fail-closed. MCP-native. Works with CrewAI, LangGraph, Claude Code, and Cursor.
Install
npx dingdawg-loop
Or as an MCP server in Claude Desktop / Claude Code:
{
"mcpServers": {
"dingdawg-loop": {
"command": "npx",
"args": ["dingdawg-loop"]
}
}
}
What it does
DDLP wraps any scheduled agent action with a governance gate that:
- Evaluates the loop description before execution
- Blocks destructive, financial, or sensitive operations until policy thresholds are met
- Signs every execution with an Ed25519 receipt
- Provides full audit history per loop
MCP Tools
| Tool | Description |
|---|---|
register_loop |
Register a new scheduled loop with name, description, cron, and governance policy |
execute_loop |
Run one cycle of a registered loop — governance gate fires before any action |
list_loops |
List all registered loops with status, last execution, and receipt count |
pause_loop |
Pause a running loop — no executions until resumed |
resume_loop |
Resume a paused loop |
loop_audit |
Retrieve the full signed receipt audit trail for any loop |
Governance gates
DDLP classifies every loop at registration time. High-risk categories require elevated approval:
- Destructive operations — file deletion, database mutations,
DROPstatements - External communications — email sends, Slack messages, webhook calls
- Financial operations — any spend, transfer, or payment action
- Sensitive data access — PII reads, credential access, health records
- Bulk operations — mass updates, batch sends, bulk deletes
Compatibility
Works with any MCP-compatible AI client:
- Claude Desktop / Claude Code
- Cursor
- CrewAI (via MCP bridge)
- LangGraph (via MCP bridge)
License
BUSL-1.1 — see LICENSE
Publisher
DingDawg Enterprise — [email protected] — dingdawg.com
Установить Dingdawg Loop в Claude Desktop, Claude Code, Cursor
unyly install dingdawg-loopСтавит в Claude Desktop, Claude Code, Cursor и VS Code — сам разбирается с npx, uvx и сборкой из исходников.
Впервые? Поставь CLI: curl -fsSL https://unyly.org/install | sh
Или настроить вручную
Выполни в терминале:
claude mcp add dingdawg-loop -- npx -y dingdawg-loopFAQ
Dingdawg Loop MCP бесплатный?
Да, Dingdawg Loop MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для Dingdawg Loop?
Нет, Dingdawg Loop работает без API-ключей и переменных окружения.
Dingdawg Loop — hosted или self-hosted?
Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.
Как установить Dingdawg Loop в Claude Desktop, Claude Code или Cursor?
Открой Dingdawg Loop 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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