Quarterback
Prioritize backlog and orchestrate multiple agent tasks when you run several solo projects at once.
Overview
Quarterback is an MCP server for the Build phase that prioritizes tasks and orchestrates coding agents for multi-project operators.
What is this MCP server?
- Strategic task prioritization across competing workstreams
- Agent orchestration for multi-project operators
- stdio MCP server via PyPI package `quarterback` (v1.0.1)
- Designed for operators juggling more than one build at a time
- GitHub-hosted server with MCP 2025-12-11 schema
- Server version 1.0.1
- Single PyPI package identifier: quarterback
- Transport: stdio only in registry metadata
What problem does it solve?
When you juggle several solo projects, agents grab low-impact tasks because nothing external ranks what should run first.
Who is it for?
Indie builders running 2+ codebases who want MCP-driven prioritization and agent coordination during active development.
Skip if: Teams with a single linear roadmap, heavy Jira workflows already locked in, or builders who only need one-off API integrations.
What do I get? / Deliverables
After registering Quarterback, your agent can align work with strategic priority and clearer multi-project orchestration instead of ad-hoc task picking.
- Registered stdio MCP server for strategic prioritization
- Agent-callable orchestration for multi-project task ordering
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Journey fit
Quarterback sits on the Build shelf because it helps you decide what to implement next and how agents should split work while the product is actively being developed. PM subphase covers prioritization, sequencing, and operator-level coordination—not a single integration or deploy step.
How it compares
MCP orchestration and prioritization layer, not a feature-integration or deployment MCP.
Common Questions / FAQ
Who is Quarterback for?
Solo and indie operators who use AI coding agents across multiple projects and need strategic task order plus orchestration without a full PM suite.
When should I use Quarterback?
Use it during Build when backlogs compete for agent time—before starting a long agent session or when switching between repos in the same week.
How do I add Quarterback to my agent?
Install the PyPI package `quarterback`, add an MCP server entry with stdio transport pointing at that package per your client’s MCP config, then restart the agent.