Dingdawg Loop
Run scheduled AI agents with governance gates, verification receipts, and fail-closed stops for production automation loops.
Overview
Dingdawg Loop is an MCP server for the Operate phase that runs scheduled AI agents behind governance gates with verification receipts and fail-closed safety.
What is this MCP server?
- Safe scheduled AI agents with explicit governance gates
- Verified runs with receipts for accountability
- Fail-closed behavior when gates or verification fail
- stdio npm dingdawg-loop v2.0.8 (loop-protocol repo)
- Pairs with Dingdawg governance mindset; DINGDAWG_API_KEY for paid tier
- Package version 2.0.8 on MCP registry
- stdio npm identifier dingdawg-loop
- Source repository github.com/dingdawg/loop-protocol
What problem does it solve?
Recurring agent jobs are easy to script but hard to trust—no receipts, weak gates, and silent failures when schedules misfire in production.
Who is it for?
Solo builders operating cron-style agent workflows on live infra who already use MCP and want scheduled runs with governance and proof.
Skip if: One-shot coding tasks in a single chat session, or teams with no need for recurring autonomous agents.
What do I get? / Deliverables
Scheduled agent loops run with governance checks and verifiable receipts, stopping fail-closed instead of piling up unaccountable automation debt.
- MCP-managed scheduled agent runs with verification receipts
- Fail-closed stops when governance or verification fails
- Operational loop wiring aligned to loop-protocol repository patterns
Recommended MCP Servers
Journey fit
How it compares
Scheduled agent orchestration MCP server, not a CI/CD replacement or single interactive coding skill.
Common Questions / FAQ
Who is Dingdawg Loop for?
Operators and indie founders running repeated agent jobs—syncs, reports, checks—who need MCP-native scheduling with gates and receipts.
When should I use Dingdawg Loop?
After launch when you automate ongoing agent work on a schedule and must prove each run passed governance and verification.
How do I add Dingdawg Loop to my agent?
Install dingdawg-loop via npm, configure stdio MCP in your agent host, set DINGDAWG_API_KEY if required, and connect schedules to the Loop protocol tooling described in the GitHub loop-protocol repo.