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Dingdawg Loop

dingdawg/loop-protocol
authSTDIOregistry active
Summary

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.

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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

ToolDescription
register_loopRegister a new scheduled loop with name, description, cron, and governance policy
execute_loopRun one cycle of a registered loop — governance gate fires before any action
list_loopsList all registered loops with status, last execution, and receipt count
pause_loopPause a running loop — no executions until resumed
resume_loopResume a paused loop
loop_auditRetrieve 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 — hello@dingdawg.com — dingdawg.com

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Start earning →
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Configuration

DINGDAWG_API_KEYsecret

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

Registryactive
Packagedingdawg-loop
TransportSTDIO
AuthRequired
UpdatedMay 26, 2026
View on GitHub