An MCP server that exposes product-management tools for AI agents, including backlog prioritization, feedback analysis, capacity assessment, and dependency mapping.
An MCP server for in-loop design review of web previews. It enables agents to submit a preview URL, receive structured findings with suggested fixes, and recheck after applying changes, while never editing code itself.
MCP server that lets coding agents receive UI feedback from a browser overlay—clicked elements, selectors, source paths, and computed styles—and manage it with watch, ask, acknowledge, resolve, and dismiss tools.
MCP server for noise-reduced X (Twitter) search planning and Feedback-to-Fix engineering handoffs. Enables AI agents to generate structured search plans, filter signals, and build handoff packages via MCP tools.
An MCP server that reads a team's interviews, tickets, and docs to build a model of the product, exposing tools to ask questions, list contradictions and gaps, and draft documents, with all answers citing their source fragments.
MCP server that converts informal issue descriptions into structured, developer-ready bug reports using Groq, with automatic classification into bug, feature request, question, or unclear. Enables agents to generate bug reports directly without the web form.