clip.qa is a mobile app that turns screen recordings into structured bug reports. Record a bug on your phone, and clip.qa's AI drafts a report with steps to reproduce and device context for you to review. Reports export as markdown for AI coding tools like Claude Code and Cursor, or to paste into any tracker. Jira, Linear, Slack, GitHub Issues and Notion integrations are coming soon. No SDK required in the app you test.

What is Vibe QA — and why does it matter?

Vibe QA is quality assurance for apps built with AI coding tools — a practice that emerged alongside vibe coding (using AI assistants like Claude Code, Cursor, and Copilot to build apps rapidly). Because vibe-coded apps ship faster than traditional QA can keep up, Vibe QA uses AI-native tools to close the loop: capture bugs visually, generate LLM-ready reports automatically, and feed them back to the same AI tools that built the app. clip.qa is built for Vibe QA.

Does clip.qa work with OpenClaw projects?

Yes. clip.qa produces a structured report your agent, including OpenClaw, can read through MCP or a pasted prompt.

How is clip.qa different from Jam?

Jam has a Chrome extension, a Mac app and an iOS app, plus AI summaries and an MCP server. No Android app is documented. clip.qa records on iOS, Android and in Chrome (beta, request access), with no SDK in the app you test. clip.qa's MCP also records each fix attempt (pending, succeeded, failed) with its commit or PR, and can diff reports.

Do I need to install an SDK or add code to my app?

No. clip.qa works without any SDK integration. It uses your phone's native screen recording, so it works on any app — including competitor apps you're testing, OpenClaw projects, and apps you don't have source access to (subject to OS limits such as FLAG_SECURE).

How much does clip.qa cost?

Free: 30 bug reports and 30 AI-assisted reports a month. Team ($12.99/mo or $129/yr, billed per creator seat, viewers free): unlimited bug reports, 200 AI-assisted reports and 50 share links a month. Enterprise pricing is custom; confirm current quotas and features with sales. Audit logs and priority support are listed; SAML/SSO is coming soon.

What platforms does clip.qa support?

The clip.qa web dashboard is available now; the iOS app, Android app and Chrome extension are in beta (request access at hello@clip.qa). Bug reports can be copied as markdown into any tracker (Jira, Linear, GitHub Issues; native integrations coming soon) or used directly as prompts for Claude, Cursor, and other AI coding tools.

Turn a Phone Recording Into a Bug Report

Record the problem while using the app, then let clip.qa turn the screen recording into a structured bug report for review. The report can include steps to reproduce, expected and actual behavior, and device context, while MCP access can connect it to an AI tool.

Vibe QA3 min read

clip.qa team November 10, 2026

Record the bug while it happens

Start recording before you reproduce the issue. Use the app normally, perform the failing action, and talk through what you see. clip.qa uses the recording to prepare a bug report that an AI coding tool can read.

The clip.qa homepage says that no SDK is required. You can capture from outside the app, which is useful when testing a build you cannot rebuild. It also supports iOS and Android apps.

Add the details that make the problem clear

A useful report tells another person or tool what to reproduce, what you expected, and what happened instead. clip.qa drafts a structured report from the recording for you to review.

The report can include device context such as the operating system, device, memory, and thermal information. Chrome extension reports can also include console and network requests.

Review the structured report

Check the steps to reproduce before handing the report to an AI tool. Make sure the report describes the action that failed and the visible result, such as a spinner that never clears.

clip.qa also provides video analysis, frame analysis, screenshots, and a video transcript through its MCP tools. You can review the report details before an agent works from them.

Connect the report to your AI tool

clip.qa provides a remote MCP server and a local npm package. The clip.qa MCP guide covers remote setup for Claude Code, Cursor, and Windsurf, as well as local setup with a clip.qa API key.

The remote server uses Streamable HTTP at https://mcp.clip.qa/mcp. It exposes tools for reports, screenshots, video transcripts, frame analysis, report diffs, console logs, and network requests. The local server exposes report content, DOM data, raw report data, project summaries, comments, and fix linking when the API key has the required permissions.

Keep bug reports available to your AI workflow

Reports remain private until you explicitly share them. PII is scrubbed from MCP output. An agent can read the report and related analysis, and it can read console logs and network requests for Chrome extension reports.

For a broader look at connecting reports to AI tools, see MCP servers for an AI coding workflow. You can also compare this setup with the approach in two MCP servers for an AI coding workflow.

Turn your next recording into a bug report

Try clip.qa and record the issue instead of explaining it from scratch. See how clip.qa works

Key takeaways

Start recording before you reproduce the issue.

A useful report tells another person or tool what to reproduce, what you expected, and what happened instead.

Check the steps to reproduce before handing the report to an AI tool.

clip.qa provides a remote MCP server and a local npm package.

Reports remain private until you explicitly share them.

Frequently asked questions

Can clip.qa turn a phone screen recording into a bug report?

Yes. clip.qa turns a screen recording into a structured bug report that an AI coding tool can read. The report can include steps to reproduce, expected and actual behavior, and device context.

Do I need to add an SDK to test an app with clip.qa?

No SDK is required. clip.qa can record from outside the app, including a build you cannot rebuild, so you do not need to rebuild it to capture the bug.

What can a clip.qa MCP agent read?

An agent can read the report, screenshots, video transcript, frame analysis, and report diffs. For Chrome extension reports, it can also read console logs and network requests.

How does clip.qa connect to an AI tool?

You can use the remote MCP server or the local npm package. The remote server uses Streamable HTTP, while the local server is configured with a clip.qa API key. See the clip.qa MCP guide (https://clip.qa/mcp).