loupe-mcp
Related Servers
Alternatives to loupe-mcp
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityAmaintenanceEnables coding agents to pull structured UI feedback captured in the browser — including element selectors, bounding boxes, computed styles, screenshots, and annotations — and to mark issues as fixed.MIT
- FlicenseAqualityCmaintenanceEnables visual browser feedback collection directly into Claude Code. Users can point at elements in their browser and send annotated feedback that Claude can act on immediately.121-
- AlicenseNot gradedqualityBmaintenanceEnables AI coding agents to pull, triage, and resolve user feedback pinned directly on live web prototypes via MCP tools.68 npm3MIT
- FlicenseNot gradedqualityAmaintenanceEnables UI feedback loop by clicking elements, leaving comments, and letting AI coding agents (via MCP) resolve annotations interactively.2-
- AlicenseNot gradedqualityDmaintenanceEnables visual annotation on web pages for Claude Code, allowing element selection, comment addition, screenshot capture, and structured UI feedback for code fixes via an MCP server.MIT
- AlicenseAqualityAmaintenanceInteractive feedback layer that lets users pin comments on live web apps with auto-captured context (failing requests, console, AI metadata), and coding agents fix issues via MCP, turning pins green upon verification.1064 npmMIT
TDQS
Scored across 4 tools
Each tool has a clearly distinct role in the comment-resolution workflow: listing comments, fetching one comment's context, proposing a UI change, and updating status. There is no meaningful overlap between them, so an agent can easily select the right tool.
All four tools use a consistent snake_case verb_noun pattern: list_comments, get_comment, propose_change, update_status. This makes the names predictable and easy to scan.
Four tools is well-scoped for a focused workflow of reviewing feedback, gathering context, submitting a proposal, and closing the loop. Each tool earns its place without redundancy.
The surface covers the full agent-facing lifecycle: discover comments, inspect context, propose a change, and update status. Creation and review of PM comments happen outside this MCP server, so no critical gap remains.