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Dingdawg Loop

dingdawg/loop-protocol

This wraps scheduled agent actions with governance gates that block high-risk operations until policy thresholds are met. You register loops with cron schedules and governance rules, then execute them through MCP tools like register_loop, execute_loop, and loop_audit. Every execution gets signed with an Ed25519 receipt for audit trails. It categorizes operations as destructive, financial, sensitive, or bulk, and requires elevated approval for risky actions before they run. Works with Claude Desktop, Cursor, CrewAI, and LangGraph. Reach for this when you need scheduled AI agents that won't accidentally delete production data or send mass emails without review.

tools
6
auth
Secret needed
transport
STDIO
env var
1
last updated
May 26, 2026

Tools

6 tools

Public tool metadata for what this MCP can expose to an agent.

register_loopRegister a new scheduled loop with name, description, cron, and governance policy

Register a new scheduled loop with name, description, cron, and governance policy

No parameter schema in public metadata yet.

execute_loopRun one cycle of a registered loop — governance gate fires before any action

Run one cycle of a registered loop — governance gate fires before any action

No parameter schema in public metadata yet.

list_loopsList all registered loops with status, last execution, and receipt count

List all registered loops with status, last execution, and receipt count

No parameter schema in public metadata yet.

pause_loopPause a running loop — no executions until resumed

Pause a running loop — no executions until resumed

No parameter schema in public metadata yet.

resume_loopResume a paused loop

Resume a paused loop

No parameter schema in public metadata yet.

loop_auditRetrieve the full signed receipt audit trail for any loop

Retrieve the full signed receipt audit trail for any loop

No parameter schema in public metadata yet.

Sponsors

Configuration

DINGDAWG_API_KEYsecret

API key for paid tier access — get free at dingdawg.com

Readme

dingdawg-loop

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


View the full README on GitHub

Details

Repository
github.com/dingdawg/loop-protocol
Package
dingdawg-loop
Transport
STDIO
Auth
Required
Registry
MCP registry, active

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