"PDM" matching MCP servers:

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 SQLite-backed planning artefact management through typed MCP tools and registered skills, with generated markdown projections and guarded commits.

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.

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.

An MCP server that exposes workflow actions, wizards, and specialized operations from the QOD PPM Odoo plugin as tools, complementing generic Odoo CRUD servers by handling non-trivial UI button functionality like state transitions, report generation, and risk management.

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.

Enables AI hosts to preserve and resume task and project state across conversations, process restarts, and worker or model replacement by storing structured records, snapshots, receipts, and bounded context views through a local stdio interface.

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 assistants to interact with CA Clarity PPM for discovery, CRUD operations, and analytics.

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.