
Dingdawg Loop
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 toolsPublic 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_KEYsecretAPI 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
Details
- Repository
- github.com/dingdawg/loop-protocol
- Package
dingdawg-loop- Transport
- STDIO
- Auth
- Required
- Registry
- MCP registry, active