Plug into curated product intelligence through MCP.

ProductManagerHub gives your team grounded answers from real product frameworks, decision criteria, and failure patterns - not generic takes. Connect once via MCP and use it inside your workflow.

Connect to our MCP Claude Desktop setup

Why we exist·Knowledge base·Use cases

Generic Chat

“Try using RICE for prioritization. RICE stands for Reach, Impact, Confidence, and Effort...”

ProductManagerHub via MCP

“Your last 2 roadmap bets missed due to low confidence evidence. Use this 3-step decision criteria sequence from your curated knowledge base and apply the red-flag checks before committing.”

Generic Chat

“Stakeholder alignment can be improved with better communication and regular updates.”

ProductManagerHub via MCP

“For this launch, use the alignment playbook from your enterprise AI rollout case study: exec brief in week 1, risk ledger in week 2, and decision checkpoint before engineering lock.”

Our vision

Grounded product intelligence inside the tools you already use — via MCP — so decisions pull from curated frameworks and failure patterns, not generic chatter.

Read the full vision →

Knowledge Base Overview

45 itemsFull breakdown →

Total Items

Frameworks

7 free / 4 pro

Red Flags

Decision Criteria

Framework Categories

Strategic Decisions

AI Readiness Assessment, Build vs Buy Analysis, Portfolio Optimization

AI Product Strategies

AI Feature Sequencing, AI Moat and Data Weaponization Strategy

Feature Prioritization

Infrastructure as First, Cross Roadmap Item, RICE Prioritization

Executive Communication

AI Discovery Pitch Framework, Executive AI Briefing

Operational Excellence

Technical Debt Triage and Paydown

Red Flags By Severity

Blocker4

Discovery risk, data quality gaps, execution bottlenecks, and rollout readiness concerns.

High Risk14

Discovery risk, data quality gaps, execution bottlenecks, and rollout readiness concerns.

Medium7

Discovery risk, data quality gaps, execution bottlenecks, and rollout readiness concerns.

Bring 100+ PM frameworks into every Claude conversation

Requires Claude Desktop (free, Mac or Windows) — not available in the browser interface.

Your AI client talks to our MCP client locally, which securely connects to your ProductManagerHub knowledge base. Copy, paste, restart — you're live.

Step 1

Get your API key

Create an account, then grab your key from the dashboard. Takes about 60 seconds.

Get an API key

Step 2

Add this to your Claude Desktop config

Open your Claude Desktop config file and paste one of these. Replace YOUR_API_KEY with your actual key.

{
  "mcpServers": {
    "productmanagerhub": {
      "command": "npx",
      "args": ["-y", "@productmanagerhub/mcp-client@1.0.3"],
      "env": {
        "PMHUB_API_KEY": "YOUR_API_KEY"
      }
    }
  }
}

Step 3

Restart Claude Desktop and start asking

Once connected, Claude can search your PM framework library, compare methodologies, and surface relevant context — right inside your conversation. Here's what that looks like:

Example

You: We're debating whether to use OKRs or a product scorecard for our Q3 planning. What does PMHub say?

Searching ProductManagerHub for OKR vs scorecard frameworks... Found 4 relevant frameworks. Here's how they compare for your use case...

No additional software required beyond Claude Desktop. The npx command installs the MCP client automatically on first run. Works on Mac and Windows. Claude Desktop walkthrough · MCP checklist.