"A server that generates videos from prompts using related videos or images" matching MCP servers:

A Python-based MCP server that enables AI agents to query the Microsoft 365 Roadmap programmatically.

An MCP server for accelerator programs to query, review, and manage startup applications via natural language. It enables searching applications by sector or impact score, fetching full application details with reviewer notes, listing pending reviews, and flagging applications for panel discussion.

Enables AI assistants to identify and quantify value leaks in organizations using Melt's methodology, providing structured estimates instead of generic vendor lists.

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.

MCP server for ProductPlan - enables AI assistants to interact with roadmaps, OKRs, and discovery features.

Enables AI assistants to perform structured decision-making using the Analytic Hierarchy Process (AHP), allowing users to define criteria, compare options pairwise, and calculate ranked results with consistency validation.

re-backlog idea management with decision tracking, signal aggregation, and RICE scoring. Captures product feedback from Slack, Teams, Discord, and GitHub

Enables AI assistants to retrieve a Wildberries seller's product cards and customer reviews through the official Content and Feedbacks APIs.

An MCP server that connects Claude to ProdPad, giving Claude direct access to your product management data including ideas, feedback, roadmaps, OKRs, and initiatives.

Enables AI assistants to securely access design files, artboards, tokens, PRDs, and design-to-code workflows, letting users implement or match designs from delivery URLs.

A production-ready MCP server enabling AI assistants to interact with Jira projects, issues, sprints, users, attachments, and worklogs via natural language, with support for both local stdio and remote HTTP transports, dual authentication methods, and enterprise-grade security controls.

A Model Context Protocol (MCP) server for Canny feedback management. Enables managing customer feedback, prioritizing features, and streamlining product development through natural language.

MCP server for ListenME — product research task management via Boxverse AI. Provides 21 tools for managing research tasks, reviewing user feedback, and generating insights.

An MCP server that enables LLMs to interact with NEXT structured data, providing tools for retrieving highlights and clusters.

Enables AI systems to generate detailed, well-structured Product Requirements Documents (PRDs) using various AI providers or templates through the Model Context Protocol.

Enables AI agents to interact with Plane project management APIs, offering tools for managing projects, work items, cycles, modules, initiatives, and more through MCP.

Enables LLM clients to answer prospect questions about Timers Studio, a professional broadcast timer platform, with first-party data on competitive positioning, use cases, personas, and recommended plans.

Read-only MCP server that allows interaction with a Jama Connect instance via tools, wrapping the official py-jama-rest-client library.

MCP server for managing customer feature requests with role-based approvals, elicitation for high-impact changes, and support for notifications, sampling, and progress tracking. Enables employees to review, prioritize, and approve requests without direct database access.

Enables reading public product catalogs for a single Haulistic organization, with prompts for browsing, searching, and comparing products via MCP endpoints.