PM33 MCP Server

by b33-steve

Not rated
GitHub

Description

AI-native product management MCP server with 17 tools and 11 resources. WSJF backlog optimization, portfolio scheduling, Monte Carlo forecasting, velocity analytics, competitive intelligence, strategic alignment, PRD generation, sprint management. Integrates with Jira, Linear…

About

AI-native product management MCP server with 17 tools and 11 resources. WSJF backlog optimization, portfolio scheduling, Monte Carlo forecasting, velocity analytics, competitive intelligence, strategic alignment, PRD generation, sprint management. Integrates with Jira, Linear, and Asana.

Details

Author
b33-steve
Categories
Productivity, Other, Project Management, Automation

Setup

Install PM33 MCP Server in your MCP client (Claude Desktop, Cursor, Windsurf, and others).

Repository: https://github.com/b33-steve/pm33-mcp

Follow the installation instructions in the repository README, then restart your MCP client.

Connect Claude toPM33, an AI-powered product management platform that connects strategy to execution.

claude /install-plugin https://github.com/b33-steve/pm33-mcp

Set your PM33 API key as an environment variable:

Generate an API key atpm-33.io/settingsunder the API Keys tab.

Remove theheadersblock from.mcp.json— Claude will use OAuth 2.0 PKCE automatically. You'll be prompted to log in to PM33 on first use.

Type any of these in Claude Code to run a PM workflow instantly:

You can also ask questions in natural language — the PM agent chains tools automatically:

5 data resources + 4 interactive MCP App views (HTML visualizations rendered inline in Claude Desktop):

- pm33://strategy/{workspaceId}— Strategic context
- pm33://backlog/{workspaceId}— Backlog summary
- pm33://velocity/{workspaceId}— Velocity metrics
- pm33://competitive/{tenantId}— Competitive landscape
- pm33://workspaces— Available workspaces
- pm33://ui/optimize-priorities— Priority scoring visualization
- pm33://ui/forecast-delivery— Delivery forecast chart
- pm33://ui/schedule-portfolio— Portfolio Gantt view
- pm33://ui/generate-prd— PRD document view

pm33-mcp/ .claude-plugin/ plugin.json # Plugin manifest commands/ prioritize.md # /pm33:prioritize — WSJF scoring forecast.md # /pm33:forecast — delivery forecasting prd.md # /pm33:prd — PRD generation competitors.md # /pm33:competitors — competitive intel respond.md # /pm33:respond — competitive response whatif.md # /pm33:whatif — scenario modeling schedule.md # /pm33:schedule — portfolio scheduling sprint.md # /pm33:sprint — full sprint planning skills/ pm33-product-manager/ SKILL.md # Multi-tool chaining workflows agents/ pm33-pm.md # Product manager agent persona .mcp.json # MCP server configuration settings.json # Activates pm33-pm agent by default

Perform queries and entity operations in your Fibery workspace.

Keep teams & agents coordinated automatically

Connect to the Taskade platform via MCP. Access tasks, projects, workflows, and AI agents in real-time through a unified workspace and API.

A universal remote MCP server that connects to popular productivity tools such as Notion, Monday, AirTable, and many more.

advanced-math-mcp — MCP server for linear algebra, calculus, and symbolic math. 17 tools with a unified evaluate() expression engine. Supports matrices, eigenvalues, SVD, integrals, limits, derivatives, and more.

Interact with Asana tasks, projects, workspaces, and comments using the Asana API.

Interact with the Asana API to manage tasks, projects, and workspaces.

An MCP interface for Atlassian products, including Jira and Bitbucket.

The Outcome Backcasting MCP is a strategic planning tool that helps you work backwards from a desired future outcome to identify the specific steps, resources, and dependencies needed to achieve your goals. Unlike traditional forward planning, backcasting starts with your end goal and creates a reverse roadmap to get there.

About A repo-native task graph as plain Markdown files, served to AI agents over MCP and to humans over a clean web UI .

No reviews yet — be the first

Sign in to leave a review

Use Google, GitHub, or an email account so ratings stay tied to real people.

Email sign in

No reviews posted yet.