Dingdawg Planning Agent
Let your agent estimate sprints, break down tasks, flag risks, and adapt plans using learned velocity while you build.
Overview
dingdawg-planning-agent is a Build-phase MCP server that estimates sprints, breaks down tasks, analyzes risk, and learns your velocity for solo-builder planning.
What is this MCP server?
- Sprint estimation and task breakdown via MCP tools
- Risk analysis on proposed scope before you overcommit
- Velocity learning over time to tighten future estimates
- npm dingdawg-planning-agent v2.0.6 stdio transport
- Optional DINGDAWG_API_KEY for Dingdawg paid tier
- Package version 2.0.6
- MCP schema 2025-12-11
- stdio npm transport
Community signal: 1 GitHub stars.
What problem does it solve?
One-person teams underestimate scope because planning, estimation, and risk review are disconnected from the agent session where code gets written.
Who is it for?
Solo builders running short sprints who want AI-assisted estimation and breakdown inside Claude Code or Cursor.
Skip if: Large orgs needing Jira-grade portfolio management, dependency graphs, or fully offline planning with no API.
What do I get? / Deliverables
Your agent can produce structured sprint plans and risk-aware task lists that improve as Dingdawg learns your delivery velocity.
- Sprint-level estimates and structured task breakdowns
- Risk summaries for proposed scope
- Planning outputs informed by learned velocity over repeated use
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Journey fit
Build is where scope becomes tickets and timelines; planning MCP belongs on the pm shelf even when you started ideation earlier. Sprint estimation, task breakdown, and risk analysis are core pm subphase work for solo builders wearing the PM hat.
How it compares
Velocity-aware planning MCP, not a static writing-plans skill file alone.
Common Questions / FAQ
Who is dingdawg-planning-agent for?
Solo and indie developers who act as their own PM and want sprint estimation and task breakdown from their coding agent.
When should I use dingdawg-planning-agent?
Use it when scoping a milestone, starting a sprint, or re-planning after scope creep during Validate or Build.
How do I add dingdawg-planning-agent to my agent?
Add the npm MCP server dingdawg-planning-agent with stdio transport and set DINGDAWG_API_KEY if required for your Dingdawg tier.