Schema | Puppeteer Debugger MCP Server

Puppeteer Debugger MCP Server

Describes the environment variables required to run the server.

Name	Required	Description	Default
`PUPPETEER_EXECUTABLE_PATH`	No	The path to the Chrome or Chromium browser executable if it is not in a default location (e.g., C:\Program Files\Google\Chrome\Application\chrome.exe on Windows or /usr/bin/google-chrome on Linux).

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{ "listChanged": true }

Functions exposed to the LLM to take actions

Name	Description
navigateB	导航到指定 URL
get_console_errorsB	获取 Console 异常和日志
check_elementB	检查元素状态（属性、样式、可见性等）
get_cache_statusB	获取缓存状态（LocalStorage、SessionStorage、Cookies、IndexedDB）
get_performanceC	获取性能数据（Performance Timeline、页面加载指标）
get_heap_snapshotB	获取堆快照（建议先让用户选择是否导出 raw snapshot，以及导出方式：none/file/inline/both）
analyze_memoryC	分析内存使用情况
track_allocationsC	跟踪对象分配
take_screenshotA	截图工具（辅助调试）。支持视口截图和全页截图。建议在使用前询问用户希望的输出方式：如果用户需要直接查看图片，使用 inline 模式返回 base64；如果用户需要保存图片文件，使用 file 或 auto 模式保存为文件。对于全页截图或大图片，强烈建议使用 file/auto 模式避免响应过大。
get_lighthouseC	获取 Lighthouse 性能报告（包括性能、可访问性、最佳实践、SEO 等指标）

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/ALIEX7664/puppeteer-debugger-mcp-server'

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