PM-Copilot MCP
An AI-powered Product Management Operating System that provides tools for PRDs, user stories, prioritization, competitor analysis, roadmaps, KPIs, meeting notes, and product strategy via MCP clients.
README
PM-Copilot MCP
An AI-powered Product Management Operating System exposed as a Model Context Protocol server. It gives Product Managers, founders, and product leaders a set of tools, prompts, and reference resources for the workflows they do every day — PRDs, user stories, prioritization, competitor analysis, roadmaps, KPIs, meeting notes, and product strategy — directly from Claude Desktop, Claude Code, Cursor, Windsurf, or any other MCP-compatible client.
How generation works
PM-Copilot does not call out to an LLM API itself. Tools that produce narrative documents (PRDs,
user stories, competitor analysis, roadmaps, KPIs, meeting summaries, strategy docs) use the MCP
sampling capability to ask the connected client's own model to do the writing, using a
PM-best-practices system prompt and a structured request. prioritize_features is fully
deterministic: it computes RICE and ICE scores and MoSCoW buckets in code.
Tools
| Tool | Purpose |
|---|---|
generate_prd |
Enterprise-grade Product Requirement Document |
generate_user_stories |
INVEST-compliant user stories with acceptance criteria and edge cases |
prioritize_features |
RICE / ICE / MoSCoW scoring and final prioritization |
competitor_analysis |
Feature comparison matrix, SWOT, and strategic recommendations |
generate_roadmap |
Quarterly roadmap with milestones, dependencies, risks |
generate_kpis |
North Star metric with leading/lagging indicators |
analyze_meeting_notes |
Summary, decisions, risks, action items, follow-ups |
generate_strategy |
Vision, mission, goals, market analysis, positioning, growth plan |
Resources
pm-copilot://templates/{prd,roadmap,user-story,strategy}— reusable document templatespm-copilot://frameworks— reference definitions for RICE, ICE, MoSCoW, Kano, JTBD, Opportunity Solution Tree, SWOT, Porter's Five Forces, and PESTLE
Prompts
create_prd, generate_user_stories_prompt, analyze_competitor, build_product_strategy,
create_quarterly_roadmap — each wraps the corresponding tool with the right arguments.
Project structure
src/
tools/ one module per MCP tool
resources/ templates + framework library, registered as MCP resources
prompts/ guided prompt wrappers around the tools
schemas/ Zod input schemas and shared validation helpers
utils/ structured logger and the sampling helper
server.ts builds and wires the McpServer
cli.ts stdio entrypoint (`pm-copilot-mcp` binary)
tests/ Jest unit tests
Development
npm install
npm run build # compile TypeScript to dist/
npm test # run the Jest test suite
npm run start # run the compiled server over stdio
Docker
docker build -t pm-copilot-mcp .
docker run -i pm-copilot-mcp
The server communicates over stdio (the standard MCP transport for desktop clients), so run the
container interactively (-i) rather than publishing a port.
Claude Desktop configuration
{
"mcpServers": {
"pm-copilot": {
"command": "node",
"args": ["/path/to/pm-copilot-mcp/dist/cli.js"]
}
}
}
Quality
- All tool inputs are validated with Zod; invalid input raises a descriptive error before any generation happens.
- Structured JSON logs are written to stderr so they never collide with MCP JSON-RPC traffic on stdout.
- Tool results return both human-readable text and
structuredContentfor programmatic clients.
Roadmap
Planned premium features include PM intelligence (usage/retention analytics), Jira/Notion/Linear integrations, and an AI product coach for interview and case-study practice — see the original product brief for the full commercialization plan.
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