@enemyrr
基本信息
暂无概览
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-server-pagespeed": {
"command": "npx",
"args": [
"mcp-server-pagespeed"
]
}
}
}Analyzes a webpage using Google PageSpeed Insights API
@enemyrr/mcp-server-pagespeed is a Model Context Protocol server that provides Google PageSpeed Insights analysis, enabling AI models to analyze webpage performance through a standardized interface.
Clone the repository, run npm install and npm run build, then add the server in Cursor IDE with the command node /absolute/path/to/mcp-server-pagespeed/build/index.js. Alternatively, run npx mcp-server-pagespeed from the command line. Use the analyze_pagespeed tool with a URL argument to get performance scores, loading metrics, and improvement suggestions.
It provides Google PageSpeed Insights analysis, returning a performance score (0–100), loading metrics (First Contentful Paint, First Input Delay), and the top 5 improvement suggestions with title, description, potential impact, and current value.
Clone the repository, run `npm install` and `npm run build`, then add the server in Cursor IDE with the command `node /absolute/path/to/mcp-server-pagespeed/build/index.js`. You can also run it directly via `npx mcp-server-pagespeed`.
It provides one tool: `analyze_pagespeed`, which accepts a `url` argument and returns performance analysis results.
The server provides detailed error messages for invalid URLs, API request failures, connection issues, and invalid tool calls.
The project is licensed under the MIT License.
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