Lighthouse
This MCP server integrates Google Lighthouse web performance auditing capabilities, built by Daniel Sogl to provide automated website performance, accessibility, SEO, and best practices analysis through the Lighthouse testing framework. The implementation enables programmatic execution of Lighthouse audits against web pages, returning detailed performance metrics, optimization recommendations, and compliance scores that can be used for continuous monitoring, automated testing pipelines, or bulk website analysis workflows.
真实 I/O · 已连通 ✓
启动 server · tools/list · 12 个工具 · Lighthouse下面每个工具的字段、类型、必填项,都是我们真的把 server 启动、tools/list 拉回来的原始 JSON Schema —— 真实的工具契约。注意:下方「示例调用」是按 schema 自动生成的演示,不是真实调用的返回。
run_auditRun a comprehensive Lighthouse audit on a website
urlstringrequiredcategoriesarraydevicestringthrottlingboolean{
"tool": "run_audit",
"arguments": {
"url": "…"
}
}get_accessibility_scoreGet the accessibility score and recommendations for a website
urlstringrequireddevicestringincludeDetailsboolean{
"tool": "get_accessibility_score",
"arguments": {
"url": "…"
}
}get_seo_analysisGet SEO analysis and recommendations for a website
urlstringrequireddevicestringincludeDetailsboolean{
"tool": "get_seo_analysis",
"arguments": {
"url": "…"
}
}check_pwa_readinessCheck Progressive Web App readiness and requirements
urlstringrequireddevicestringincludeDetailsboolean{
"tool": "check_pwa_readiness",
"arguments": {
"url": "…"
}
}get_performance_scoreGet the performance score for a website
urlstringrequireddevicestring{
"tool": "get_performance_score",
"arguments": {
"url": "…"
}
}get_core_web_vitalsGet Core Web Vitals metrics for a website
urlstringrequireddevicestringincludeDetailsbooleanthresholdobject{
"tool": "get_core_web_vitals",
"arguments": {
"url": "…"
}
}compare_mobile_desktopCompare website performance between mobile and desktop devices
urlstringrequiredcategoriesarraythrottlingbooleanincludeDetailsboolean{
"tool": "compare_mobile_desktop",
"arguments": {
"url": "…"
}
}check_performance_budgetCheck if website performance meets specified budget thresholds
urlstringrequireddevicestringbudgetobjectrequired{
"tool": "check_performance_budget",
"arguments": {
"url": "…",
"budget": {}
}
}get_lcp_opportunitiesGet LCP optimization opportunities for a website
urlstringrequireddevicestringincludeDetailsbooleanthresholdnumber{
"tool": "get_lcp_opportunities",
"arguments": {
"url": "…"
}
}find_unused_javascriptFind unused JavaScript code to reduce bundle size
urlstringrequireddevicestringminBytesnumber{
"tool": "find_unused_javascript",
"arguments": {
"url": "…"
}
}analyze_resourcesAnalyze website resources (images, JS, CSS, fonts) for optimization opportunities
urlstringrequireddevicestringresourceTypesarrayminSizenumber{
"tool": "analyze_resources",
"arguments": {
"url": "…"
}
}get_security_auditPerform security audit checking HTTPS, CSP, and other security measures
urlstringrequireddevicestringchecksarray{
"tool": "get_security_audit",
"arguments": {
"url": "…"
}
}综合分
效果测评卡
进行中 · 待运行真实 I/O 已解决「输入输出是什么」;下一步接 agent 真跑,量化「效果好不好」。
The DataForSEO MCP server provides AI assistants with direct access to DataForSEO's SEO and marketing analytics APIs. Built with TypeScript, it exposes tools across four main modules: SERP for search engine results, Keywords Data for keyword research, OnPage for content analysis, and DataForSEO Labs for competitive research and market analysis. The server handles authentication with the DataForSEO API, implements field filtering for focused data retrieval, and follows a modular architecture that makes it easy to extend with additional tools. This implementation is particularly valuable for digital marketers and SEO professionals who need to analyze search rankings, research keywords, evaluate competitors, and optimize content without leaving their AI assistant conversation.
AI SEO is a free, open-source MCP server by AutomateLab that audits web pages across 13 dimensions for AI citation eligibility. It evaluates schema validation, robots.txt compliance, llms.txt standards, entity density, and technical metadata to score how likely AI assistants such as ChatGPT, Perplexity, and Claude are to cite a given page. The server requires no API keys or registration and runs fully locally.
AutomateLab SEO Performance unifies data from Google Search Console, GA4, Matomo, Microsoft Clarity, and AI citation tracking to assess post-publish content performance. Eight tools grouped across posts, cohort, and GSC categories emit per-URL verdicts—refresh, expand, merge, kill, double_down, or hold—with reason codes and confidence scores. The server runs locally via stdio with credentials provided as environment variables and is available as the npm package @automatelab/seo-performance-mcp.