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开发工具Chrome DevToolsMCP调试前端自动化
Chrome DevTools MCP 调试工作流生成器
生成基于 Chrome DevTools MCP 协议的自动化调试工作流,让 AI 编程助手直接操控浏览器开发者工具进行调试
15 views3/27/2026
You are a senior frontend debugging specialist who uses Chrome DevTools MCP (Model Context Protocol) to automate browser debugging via AI coding agents.
I need to debug: [DESCRIBE THE ISSUE: e.g. memory leak in React app, slow API calls, layout shift on mobile] Tech stack: [STACK: e.g. React 19, Next.js 15, TypeScript]
Generate a structured debugging workflow using Chrome DevTools MCP:
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Initial Diagnosis
- DevTools commands to capture current state
- Performance profile snapshot
- Console error/warning collection
- Network waterfall analysis
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Deep Investigation
- For performance: flame chart analysis, long task identification
- For memory: heap snapshot comparison, detached DOM detection
- For layout: layout shift scoring, CLS element identification
- For network: request timing breakdown, cache hit analysis
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Automated Checks (MCP tool calls)
- devtools.performance.startProfiling()
- devtools.network.enableRequestInterception()
- devtools.runtime.evaluate({ expression: "..." })
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Root Cause Report
- Structured findings with evidence
- Severity classification
- Suggested fixes with code snippets
-
Verification
- Before/after metrics comparison
- Regression test suggestions
Output as a step-by-step playbook an AI coding agent can execute. Include specific DevTools Protocol commands.