"PM2" matching MCP servers:

Enables PM radar analysis of Jira projects, providing daily, sprint, and backlog reports with issue context and search.

Turns Claude Code into an engineering project manager by orchestrating feature development with isolated Git worktrees, structured task validation, and approval-gated integration.

Gives Claude four decision tools for product management: rank backlog, mine customer feedback, size sprint capacity, and trace dependency risk, all grounded in JSON data.

MCP server providing tools for product management decision-making including backlog prioritization, feedback analysis, capacity assessment, and dependency mapping.

Integrates AI assistants with product management tools like Linear and Slack, providing specialized agents for discovery, strategy, prioritization, roadmap planning, and metrics definition via the Model Context Protocol.

Enables interacting with Microsoft Planner and Project for the Web plans through a secure MCP server, supporting plan listing, WBS details, overdue tasks, and workload summaries with strict group isolation.

Enables product managers to analyze meeting transcripts, create tasks in Linear with deduplication, post messages and DMs on Slack, and generate weekly digests, all through natural language via MCP.

A Python MCP server that gives Claude access to PM workflow data such as sprints, roadmap, blockers, and workload, using synthetic fixture data (no API keys required) and can be forked for real Linear/Jira integration.

Enables autonomous project management with intelligent synchronization between GitHub, Notion, and Motion, including pattern recognition, self-optimization, and automated field population.

Enables GitHub project management from Claude, supporting issue creation, milestones, labels, changelog generation, and repository stats.

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.

Enables an AI assistant to read and manage a local project-management database over stdio: listing and creating projects, tasks, expenses, chats and people, and pulling money, margin, deadline and overdue summaries. It runs on the same service layer and SQLite file as the bundled web UI, so figures shown to the assistant and to the human always agree.

A planning and orchestration system for AI-driven software development that integrates as an MCP server, enabling developers to plan, prioritize, and execute complex projects with context-aware assistance.

Enables agents to query and manage project tasks across multiple backends such as Jira, Asana, Monday, ClickUp, Smartsheet, Microsoft Project, and Trello through unified MCP tools, with a built-in mock mode for testing.

Enables AI agents to manage projects, epics, and tasks with atomic locking, real-time dashboard, and multi-agent coordination.

Enables prioritization of backlog items, analysis of customer feedback, capacity assessment, and dependency mapping for product management.

A multi-agent product-management copilot that automates morning briefings, metrics answers, knowledge lookups over an Obsidian vault, and PRD/ticket drafting.

An MCP server that gives Claude the tools to help a product manager make sprint decisions grounded in real data.

A bridge between MCP Host applications and mem0 cloud service, specialized for project management with capabilities to store, retrieve, and search project information within a structured format.

Enables AI-assisted project management governance across 8 domains including projects, RAID, scope, people, time, cost, meetings, and administration through 51 MCP tools.