Skip to main content
Glama

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"]
    }
  }
}

Related MCP server: task-orchestrator

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.comdingdawg.com

A
license - permissive license
-
quality - not tested
B
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Related MCP Servers

  • A
    license
    -
    quality
    F
    maintenance
    Governance kernel for AI agents — policy enforcement, code safety verification, multi-model hallucination detection (CMVK), trust attestation (IATP), and immutable audit trails. Works with Claude Desktop, Cursor, and any MCP client.
    72
    MIT
  • A
    license
    -
    quality
    A
    maintenance
    Server-enforced workflow discipline for AI agents. An MCP server providing persistent work items, dependency graphs, quality gates, and actor attribution. Schemas define what agents must produce — the server blocks the call if they don't. Works with any MCP-compatible client.
    199
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    Universal governance layer for AI agents — MCP-native, fail-closed, LNN interpretability. Governed receipts, IPFS audit proofs, and rollback for any agent in any framework.
    3
    98
    Apache 2.0
  • A
    license
    -
    quality
    B
    maintenance
    Fail-closed AI agent governance — approve or block agent actions in real time, score compliance risk, and generate tamper-evident receipts. Free tier: 10 governed actions/day. Upgrade for unlimited + Ed25519-signed audit receipts.
    1
    MIT

View all related MCP servers

Related MCP Connectors

  • Control plane for autonomous software labor. Agents claim objectives over MCP with audit trail.

  • Sovereign Agent OS — Persistent Memory, Governance & Compliance for AI Agents.

  • Six-gate governance for AI agents: PROCEED/PAUSE/HALT decisions with hash-chained audit trails.

View all MCP Connectors

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/dingdawg/loop-protocol'

If you have feedback or need assistance with the MCP directory API, please join our Discord server