MCP Product Decision Copilot
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@MCP Product Decision CopilotShould we ship real-time collaborative editing in Q1?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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 |
|
| Usage, retention, support tickets, revenue, user feedback |
|
| Team capacity, commitments, tech debt, dependencies, risks |
|
| 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.
Related MCP server: pm-copilot
Prerequisites
uv (Python package manager)
Setup
Clone the repo and install dependencies:
cd "MCP Copilot"
uv syncAdd 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.
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 textThis server cannot be deployed
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