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Dingdawg Loop

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DingDawg Loop Protocol (DDLP) — safe scheduled AI agents with governance gates. Every loop execution is verified, receipted, and fail-closed. MCP-native, works

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About

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, DROP statements
  • 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

from github.com/dingdawg/loop-protocol

Install Dingdawg Loop in Claude Desktop, Claude Code & Cursor

Recommended · one command, every IDE
unyly install dingdawg-loop

Installs into Claude Desktop, Claude Code, Cursor & VS Code — handles npx, uvx and build-from-source repos for you.

First time? Get the CLI: curl -fsSL https://unyly.org/install | sh

Or configure manually

Run in your terminal:

claude mcp add dingdawg-loop -- npx -y dingdawg-loop

FAQ

Is Dingdawg Loop MCP free?

Yes, Dingdawg Loop MCP is free — one-click install via Unyly at no cost.

Does Dingdawg Loop need an API key?

No, Dingdawg Loop runs without API keys or environment variables.

Is Dingdawg Loop hosted or self-hosted?

Self-hosted: the server runs locally on your machine via the install command above.

How do I install Dingdawg Loop in Claude Desktop, Claude Code or Cursor?

Open Dingdawg Loop on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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