6 items
Drop visual feedback pins on your app or site. Threaded comments, AI agent integration via MCP. PinCushion turns visual feedback into implemented code — no email threads, no vague screenshots, no context lost in translation. HOW IT WORKS 1. You or your teams clicks an element on a live or staging site and leaves a comment 2. PinCushion auto-captures the CSS selector, DOM snapshot, screenshot, and device context 3. Your AI agent (Cursor, Claude Code, VS Code Copilot, Windsurf) reads the pin via MCP 4. The agent implements the fix with full context — no back-and-forth needed 5. Pin is marked resolved. Done. KEY FEATURES • Pin anywhere — works on any website, staging or production, with no changes to your codebase • Full context capture — CSS selectors, XPath, DOM tree snapshots, and browser info auto-attached to every pin • MCP protocol integration — feeds pins directly to AI agents in Cursor, Claude Code, VS Code, and Windsurf • Threaded comments — stakeholders and developers discuss in-context without leaving the page • Real-time sync — pin updates appear instantly across your team (Pro/Team) • Stakeholders always free — only developers pay PERFECT FOR Web agencies, design-to-dev handoff, QA teams, product managers, solo freelancers, and any team tired of "can you move it a little to the left" emails, minor Jira tickets, and endless screenshots in Slack messages. PRICING Free — Unlimited pins and comments, 1 project, AI agent integration Pro — $19/month (or $15/month billed annually) — unlimited projects, real-time sync Team — $49/month (or $39/month billed annually) — 3 developer seats, priority support Stakeholders who drop pins are always free.
Jul 30, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.