Dingdawg Loop

Safe scheduled AI agents with governance gates. Verified, receipted, fail-closed.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

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Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "dingdawg-loop": {
      "command": "npx",
      "args": [
        "-y",
        "dingdawg-loop"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Documentation Overview

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

Terminal

npx dingdawg-loop

Or as an MCP server in Claude Desktop / Claude Code:

config.json

{
  "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 — hello@dingdawg.com — dingdawg.com

Read the full README →View source on GitHub →

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Frequently Asked Questions about Dingdawg Loop

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "dingdawg-loop": { "command": "npx", "args": ["-y", "dingdawg-loop"] } }

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Technical Specs & Signals

CategoryDeveloper Tools

36Quality signal: Fair · 36/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

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Documentation & tools16/30

Adoption & activity1/15

Community engagement0/10

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