
Dingdawg Planning Agent
This is a planning agent that estimates sprints, breaks down tasks, and flags risks while learning your team's velocity over time. The source repository shows it's actually part of ISG Agent 1, a governance-focused autonomous agent platform with constitution enforcement, adversarial self-testing, and cryptographic audit trails. The MCP server likely exposes planning capabilities from that larger system. You'd reach for this when you want AI-assisted sprint planning that adapts to your delivery patterns, though the documentation doesn't detail which specific planning operations are available through the MCP interface versus the full platform. The underlying system runs on Python 3.11+ with FastAPI and includes sandboxed skill execution.
- auth
- Secret needed
- transport
- STDIO
- env var
- 1
- last updated
- Apr 9, 2026
Sponsors
Configuration
DINGDAWG_API_KEYsecretAPI key for paid tier access — get free at dingdawg.com
Readme
DingDawg Agent 1
Governance receipts for AI agents.
Every action a governed agent takes generates a cryptographically-signed receipt: what it decided, why, which model, which version, at what time. Built toward EU AI Act Art. 12, Colorado AI Act (SB 24-205), and NIST AI RMF requirements.
The receipt is what turns a policy document into evidence.
What's live today
| Capability | Endpoint |
|---|---|
| Developer signup — issues a scoped API key | POST /v1/developers/signup |
| Governed execution — routes agent calls through metering + audit | POST /v1/govern/execute |
| Compliance classification | POST /api/v1/compliance/classify |
| Regulation lookup | GET /api/v1/compliance/regulations |
| Agent trust score + live stream | GET /api/v1/agents/{id}/trust, WS .../trust/stream |
| Billing (Stripe) | POST /api/v1/payments/create-checkout-session |
Details
- Repository
- github.com/dingdawg/dingdawg-agent-1
- Categories
- AI & LLM Tools, Productivity & Office
- Package
dingdawg-planning-agent- Transport
- STDIO
- Auth
- Required
- Registry
- MCP registry, active