"New product development resources and information" matching MCP servers:

Enables managing software delivery from intake through stabilization via an evidence-gated hierarchical state machine, with tools for transitions, work items, blocking, resuming, and status rendering.

Enables AI agents to track and manage product development projects through structured 7-phase lifecycles with sprint tracking, role-based collaboration, and multi-project support. Provides phase management, progress tracking, and team coordination tools for complete product development workflows.

Enables an agent to run 20 product-management workflows that convert call notes, specs, customer feedback and competitor changes into deduped Linear issues, PRD drafts, roadmap sheets, digests and weekly project updates. Orchestrates only the tools each workflow needs across Granola, Linear, Slack, Notion, GitHub, Stripe, Firecrawl, Tavily and Google Workspace, using credentials kept in the user's own OS keychain.

Provides Claude with tools to make Ship/Delay/Kill recommendations on feature requests using product metrics, roadmap, and OKRs.

Enables async-first working practices by providing tools to draft decision docs, convert meetings to async artifacts, score status updates, and triage sync vs async tasks. It also offers reference tools for the Open and Async book's principles and coaching prompts.

MCP server enabling AI agents to interact with OpenProject API v3 for project management, including creating and managing work packages, projects, comments, time entries, boards, and user dashboards.

Enables AI agents to break down complex tasks into manageable pieces using a structured JSON format with task tracking, context preservation, and progress monitoring capabilities.

Integrates Zoho Projects, Git, and SonarQube to automate task management, branch creation, code quality checks, and reporting for React developers.

Automates the creation of React Three Fiber game projects with various templates (platformer, puzzle, endless runner, physics-based, arcade) and integrates with Linear for automated project management including sprints, tasks, and acceptance criteria.

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

Enables AI to read live weather data and manage a persistent to-do list through MCP tools, demonstrating both read and write capabilities without API keys.

Enables agents to read and report, and to carry human-authored updates into systems of record after human consent, while structurally preventing autonomous writes of commitments like owners, due dates, or statuses.

Fast native Swift OmniFocus MCP server and CLI for macOS. Let AI assistants safely read, update, complete, and organize tasks and projects through documented Omni Automation APIs.

A comprehensive MCP server providing advanced Redmine project analytics, web automation via Playwright, and iTunes music integration. It enables detailed tracking of sprint metrics, bug counts, and team performance through a token-optimized tool architecture.

Provides AI clients with per-project todo management and persistent context notes via MCP, enabling task tracking and resume summaries.

A collection of MCP servers for Slack, Jira, Confluence, and release coordination to automate QA workflows and daily release status reporting.

Provides tools for managing project knowledge graphs, enabling structured representation of projects, tasks, milestones, resources, and team members.

Session-based development workflow MCP server for Claude Code that structures tasks into sessions with plans, progress tracking, and archiving for context resumption.

Provides LLMs with structured workflow guidance and next-step instructions for development procedures, ensuring consistent practices across projects.

Enables managing TAPD (Tencent Agile Product Development) bugs, requirements, PRD reviews, and test reports directly from IDE via natural language, with cross-project aggregation and built-in workflows.

MCP server bridging product ideas to prioritized roadmaps + spec drafts. Hands directly off to mk-spec-master. (AI 規劃大師)

Enables specification-driven development workflows for AI editors by managing structured project specifications through stages like requirements, design, and tasks.

Provides plan state management and phase gate enforcement for AI development loops. It tracks task progress and coordinates the lifecycle of agents by requiring specific evidence before advancing through development phases.

Kanban for agentic development over MCP — annotate any UI element into a ticket with file and line.

Enables triage of GitHub issues by fetching and filtering issues, checking claim status, and listing new open issues across a watch-list.

Enables HR and managers to create role-based task templates, turn them into dated checklists per new hire, track task owners and due dates, and sign off with a preserved record.

Provides structured spec-driven development workflow tools for AI-assisted software development with sequential spec creation (Requirements → Design → Tasks). Features a real-time web dashboard for monitoring project progress and managing development workflows.

Enables AI clients to interact with Webvizio projects and development tasks through a standardized interface. Provides access to task management, screenshots, logs, and project details for streamlined development workflows.

A Model Context Protocol server for FeaturePulse feedback management, enabling AI assistants to query feature requests, analyze MRR impact, and manage product roadmaps through natural language.

Enables LLM agents to manage structured sprint-based development workflows following the Sprint Protocol, including sprint initialization, status checking, and manifest generation.