MCP server exposing 40 best-practice product management skills plus workflows and lifecycle tools, instantly accessible to any AI via Model Context Protocol.
A comprehensive MCP server for managing product initiatives, architecture decisions, requirements, and releases, enabling AI tools to interact with architectural documentation and planning.
MCP server providing tools for product management decision-making including backlog prioritization, feedback analysis, capacity assessment, and dependency mapping.
MCP server that equips AI agents with dev workflow tools including GitHub project management, conventional commits, visual regression testing, Jira/Confluence integration, and a persistent memory knowledge graph.
An MCP server that provides a shared graph of an organization's projects, processes, areas, and principles, enabling consistent context for tools and AI agents.