MCP Product Decision Copilot

An MCP server that gives Claude product intelligence tools to make Ship / Delay / Kill recommendations on feature requests. Built for TaskFlow, a B2B SaaS project management platform.

What It Does

Three tools provide Claude with structured product data:

Tool	Input	Returns
get_metrics(feature_area)	collaboration, workflows, reporting, integrations	Usage, retention, support tickets, revenue, user feedback
get_roadmap(quarter)	2026-Q1	Team capacity, commitments, tech debt, dependencies, risks
get_okrs(quarter)	2026-Q1	Company and product team OKRs, strategic themes

Claude calls all three tools, then produces a structured recommendation with decision, confidence level, reasoning, risks, and next steps.

Prerequisites

• uv (Python package manager)
• Claude Desktop

Setup

1. Clone the repo and install dependencies:

cd "MCP Copilot"
uv sync

2. Add the server to Claude Desktop. Open Claude > Settings > Developer > Edit Config and add:

{
  "mcpServers": {
    "product-copilot": {
      "command": "uv",
      "args": [
        "run",
        "--directory", "/ABSOLUTE/PATH/TO/MCP Copilot",
        "python", "server.py"
      ]
    }
  }
}

Replace /ABSOLUTE/PATH/TO/MCP Copilot with the actual path to this project.

3. Restart Claude Desktop (Cmd+Q, then relaunch). You should see 3 tools in the tools menu.

Demo Scenarios

Try these prompts in Claude Desktop to see the copilot in action:

Scenario A — Ship: "We're getting requests from enterprise prospects for real-time collaborative editing. Should we build this for Q1?"

Scenario B — Delay: "Power users want advanced workflow automation — if/else branching, loops, scheduled triggers. Should we prioritize this for Q1?"

Scenario C — Kill: "I've been thinking about building a public API marketplace for TaskFlow. Should we invest in this for Q1?"

Scenario D — Tradeoff: "There's a surge of interest in AI-powered task prioritization. Should we build this for Q1?"

Project Structure

MCP Copilot/
  server.py              # MCP server (3 tools)
  pyproject.toml         # Python dependencies
  data/
    metrics/             # Per-feature-area product metrics
    roadmap/             # Per-quarter engineering roadmap
    okrs/                # Per-quarter company and team OKRs
  prompts/
    system_prompt.md     # Decision framework for Claude
    demo_prompts.md      # Full demo prompt text