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io.github.dingdawg/dingdawg-loop

Official registry AI and agents

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

Source code Documentation

What can you do with io.github.dingdawg/dingdawg-loop?

  • 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

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

NPM package dingdawg-loop
Claude Code 
claude mcp add dingdawg-loop -e 'DINGDAWG_API_KEY=<your dingdawg_api_key>' -- npx -y dingdawg-loop@2.0.8
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "dingdawg-loop": {
            "command": "npx",
            "args": [
                "-y",
                "dingdawg-loop@2.0.8"
            ],
            "env": {
                "DINGDAWG_API_KEY": "<your dingdawg_api_key>"
            }
        }
    }
}

Environment variables

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

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. dingdawg-loop
  2. Install
  3. What it does
  4. MCP Tools
  5. Governance gates
  6. Compatibility
  7. License
  8. Publisher

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

Frequently asked questions

What is io.github.dingdawg/dingdawg-loop?

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

How do I install io.github.dingdawg/dingdawg-loop?

It runs on your machine. In Claude Code: claude mcp add dingdawg-loop -e 'DINGDAWG_API_KEY=<your dingdawg_api_key>' -- npx -y dingdawg-loop@2.0.8. For other clients, paste the JSON configuration from this page into their MCP settings.

Does io.github.dingdawg/dingdawg-loop need an API key?

Yes. It expects DINGDAWG_API_KEY, which you set in its configuration.

Is io.github.dingdawg/dingdawg-loop open source?

Yes. Its code is on GitHub under the MIT license.

Who maintains io.github.dingdawg/dingdawg-loop?

It is published by dingdawg. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.