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.

clip.qa / Resources / OpenClaw QA

OpenClaw QA

QA for OpenClaw Projects

OpenClaw builds fast. clip.qa catches what slips through — and drafts bug reports an OpenClaw agent can read through MCP or a pasted prompt.

The clip.qa + OpenClaw workflow: you record the bug, clip.qa's AI drafts the report, you review it, and your OpenClaw agent reads it through MCP or a pasted prompt.

Get clip.qa free

What is OpenClaw?

OpenClaw is an open-source AI agent project. Its documentation describes tools for shell execution and configured MCP servers. The specific clip.qa connection has not been tested here.

Like all vibe coding tools, OpenClaw ships code fast. That creates an equivalent need on the QA side: a tool that captures bugs as fast as OpenClaw ships features, and formats reports in a way that OpenClaw agents can read.

That tool is clip.qa.

The QA workflow

clip.qa + OpenClaw: from recording to agent

Record a bug, review the AI draft, hand it to your agent.

STEP 01
You

Spot a bug. Open clip.qa. Record it.
STEP 02
clip.qa

Drafts a structured, LLM-ready bug report for you to review.
Vibe QA
STEP 03
OpenClaw

Agent receives the report, writes and commits the fix.
AI Agent
STEP 04
Bug fixed

No ticket, no meeting, no manual handoff.

Setup Guide

Using clip.qa with OpenClaw

01
Get clip.qa on your test device

Request beta access at [email protected]. No SDK, no configuration, no code changes to your app. clip.qa works at the OS level on any app running on your device — including your OpenClaw project's build.
02
Record bugs during testing

When you encounter a bug in your OpenClaw app, open clip.qa and start a screen recording. Navigate through the bug flow. clip.qa captures device context, timestamps, and all the state information an AI agent needs to understand and reproduce the issue.
03
Generate the LLM-ready report

Tap "Generate Report." clip.qa's AI analyzes the recording and produces a structured markdown document including: summary, steps to reproduce, expected vs actual behavior, device info, OS version, network state, and a suggested fix hypothesis. This format is optimized for LLM consumption.
04
Feed the report to your OpenClaw agent

Copy the clip.qa report and provide it as context to your OpenClaw agent with a prompt like: "Fix the bug described in this report." The structured format gives the agent precise information to locate the bug, understand the expected behavior, and write a targeted fix.
05
Review and ship

Review the agent's fix, run your test suite, and ship.

Automation

Automate bug triage with OpenClaw

OpenClaw documents shell execution and support for configured MCP servers. You can write a workflow that uses these capabilities to retrieve clip.qa reports, but this exact clip.qa connection has not been tested. The triage workflow below is one you write and test in your own setup.

01
Connect the agent to clip.qa

Configure the clip.qa remote MCP server at https://mcp.clip.qa/mcp using your OpenClaw version's MCP settings. Complete OAuth 2.1 with PKCE if prompted. This specific connection has not been tested.
02
Confirm report access

Ask the agent to call listReports, or run npx @clip-qa/cli list-reports. This confirms that the agent can retrieve reports before you add triage rules or schedule recurring work.
03
Triage new reports

Use searchReports or list-reports to pull reports and group them by severity and kind. Keep feedback items separate from bug items: a spoken opinion becomes a FEEDBACK item rather than an invented bug.
04
Give the agent one structured report

Use getReportRaw or get-report to retrieve the report details, including reproduction steps, expected versus actual behavior when available, suspected root cause, and key-moment screenshots. Tell your agent to investigate the defect and return a commit or PR reference.
05
Record the fix attempt

Use linkFixAttempt or npx @clip-qa/cli link-fix-attempt with the commit or PR reference. clip.qa stores the attempt as pending, succeeded, or failed; your OpenClaw agent applies the code fix.
06
Compare the rerun with the report

Use getReportDiff or get-report-diff to compare the original report with a rerun recording. This gives you a record of the reported defect and the attempted result without claiming that an autonomous test-and-fix loop is available.
07
Schedule the workflow in OpenClaw

Put report lookup, triage, agent instructions, and fix-attempt recording into a skill or scheduled job that you write. OpenClaw documents shell execution and configured MCP servers; test one report through your own connection before scheduling the workflow.

How do I automate bug triage with OpenClaw?

Connect your OpenClaw agent to clip.qa, confirm report access, and write a skill or cron job that retrieves reports, separates feedback from bugs, assigns investigation work, and records fix attempts. Test whether your OpenClaw build can call the MCP server or run the CLI before scheduling the job.

Does clip.qa fix bugs automatically?

No. clip.qa does not fix code; it stores structured reports and fix attempts. Your agent fixes the code and provides a commit or PR reference for linkFixAttempt.

Is OpenClaw connected to clip.qa over MCP?

OpenClaw documents configured MCP servers, and clip.qa's remote MCP endpoint is https://mcp.clip.qa/mcp. We have not tested this specific connection, so verify report access in your own setup.

Which tools can read clip.qa reports today?

The remote MCP server provides listReports, getDetails, getNetworkRequests, getConsoleLogs, getScreenshots, getVideoTranscript, analyzeVideo, searchReports, getReportDiff, getProjectSummary, getFrameAnalysis, and getReportRaw, and also createComment, linkFix and linkFixAttempt. The CLI also provides report-reading commands through npx @clip-qa/cli.

Do I need an SDK in my app?

No. Any agent or app that can use an MCP server or run the CLI can work with clip.qa today; a JavaScript SDK is not required.

Sources: docs.openclaw.ai, github.com/openclaw/openclaw, clip.qa/openclaw-qa

Why it matters

The QA gap in AI development

OpenClaw and similar tools have fundamentally changed the speed at which developers ship. A feature that took a week now takes an afternoon. But quality assurance hasn't kept pace.

Most bug reports today still require a human to write out steps, attach screenshots, fill in fields, and wait for another human to read and interpret them. That workflow was slow before AI coding tools. Against OpenClaw velocity, it's a complete bottleneck.

clip.qa closes the gap. When the bug report itself is machine-readable from the start, the loop closes: OpenClaw builds it, you spot the bug, clip.qa reports it, OpenClaw fixes it.

12xfaster than manual bug reporting
0SDK lines of code required
100%of OpenClaw apps compatible

OpenClaw QA FAQ

Is clip.qa officially supported by OpenClaw?

clip.qa is an independent product that works with OpenClaw through standard LLM-ready output formats. No special integration is required — clip.qa's structured markdown output is readable by any LLM-based agent, including OpenClaw's agent system.

Can clip.qa work with other AI coding frameworks, not just OpenClaw?

Yes. clip.qa's LLM-ready reports work with Claude Code, Cursor, Windsurf, OpenClaw, and any other AI coding tool that accepts text context. No OpenClaw setup guide exists yet. The format is standard structured markdown — universally readable by language models.

What if my OpenClaw project hasn't shipped a mobile app yet?

clip.qa supports iOS and Android app testing, both in beta (request access at [email protected]). If your OpenClaw project is a mobile app, clip.qa works once you have access. Web app support is on the roadmap. For now, the workflow applies to any app that runs on a phone — including Expo/React Native apps built with OpenClaw.

How does clip.qa format the report for OpenClaw agents?

clip.qa's AI generates structured markdown with clearly labeled sections: Summary, Steps to Reproduce, Expected Behavior, Actual Behavior, Device Context, and Environment Details. This structure helps OpenClaw agents (and any LLM agent) extract the precise information needed to locate the bug in the codebase and generate an accurate fix.

Close the OpenClaw QA loop

Free to start. No SDK. Works on any app your OpenClaw project produces.

Get clip.qa free

QA for OpenClaw Projects

What is OpenClaw?

clip.qa + OpenClaw: from recording to agent

You

clip.qa

OpenClaw

Bug fixed

Using clip.qa with OpenClaw

Get clip.qa on your test device

Record bugs during testing

Generate the LLM-ready report

Feed the report to your OpenClaw agent

Review and ship

Automate bug triage with OpenClaw

Connect the agent to clip.qa

Confirm report access

Triage new reports

Give the agent one structured report

Record the fix attempt

Compare the rerun with the report

Schedule the workflow in OpenClaw