"PageSpeed Insights" matching MCP servers:

Runs Google PageSpeed Insights audits against any public URL, returning Lighthouse scores, lab timing metrics, ranked fixes, and real-user Chrome UX Report field data.

This MCP server integrates Google PageSpeed Insights to analyze website performance, accessibility, best practices, SEO, and PWA on mobile and desktop, returning detailed audits and optimization opportunities.

16-tool MCP server for Google PageSpeed Insights & Chrome UX Report APIs. Analyze, compare, and optimize web performance directly through Claude, Cursor, or any MCP-compatible AI client.

Enables analysis of web page performance through the Google PageSpeed Insights API v5, providing tools for scores, Core Web Vitals, opportunities, diagnostics, mobile vs desktop comparison, and batch analysis.

Enables AI assistants to analyze public web pages for speed, Core Web Vitals, Lighthouse categories, accessibility and SEO scores, and resource optimization opportunities through a remote MCP connection.

Acts as a bridge between AI models and Google's PageSpeed Insights API, enabling detailed performance analysis of websites.

Enables AI assistants to perform comprehensive web performance analysis using Google's PageSpeed Insights API, including metrics, best practices, SEO, and accessibility audits.

Enables AI assistants to query and analyze past Claude Code sessions, providing structured insights like file changes, decisions, errors, and git history across projects.

Enables web performance analysis using Google PageSpeed Insights and Chrome UX Report APIs, providing compact metrics and diagnostics without local browser automation.

Enables AI assistants to query GitHub repository insights such as health, commit activity, stale pull requests, contributor stats, releases, and issue backlogs through MCP tools.

An MCP server that allows management of Jira Insights (JSM) asset schemas, enabling CRUD operations for object schemas, object types, and objects through the Model Context Protocol.

Analyzes API codebases from GitHub and Bitbucket repositories to generate Postman collections, business reports, and detailed code insights. Supports multiple frameworks including FastAPI, Spring Boot, Flask, Express, and OpenAPI/Swagger specifications.

Enables Claude and other MCP clients to map a SQLite database's schema and run read-only SQL queries against it, with writes blocked at the SQLite level through multiple enforcement layers. Results come back as context-friendly Markdown tables with row caps and a query timeout.

A local-only MCP server that exposes git repository history, diffs, and status as tools for LLM clients, working entirely against a local git repo on disk.

DBeast MCP is a robust, security-first Model Context Protocol server designed to empower AI coding assistants (like Claude Desktop) with deep PostgreSQL database insights. Instead of just running basic SQL queries, DBeast equips your AI agent with tools to inspect active locks, audit slow queries, analyze table schemas, and safely generate index recommendations in real-time. Built specifically for

Analyzes codebases to generate dependency graphs and architectural insights across multiple programming languages, helping developers understand code structure and validate against architectural rules.

An enterprise-grade data analysis system that enables users to discover data sources, configure analyses, and execute workflows through Claude Desktop. It features intelligent caching, session isolation, and secure JWT authentication for streamlined multi-user data orchestration.

Enables AI assistants to maintain persistent understanding of code projects across chat sessions via a SQLite brain that caches structural maps, summaries, and decisions. Provides tools for querying project structure, searching code, and recording insights to reduce token usage and avoid re-analysis.

Analyzes Playwright test results to provide structured QA insights, including test metrics, failure analysis, bug report drafts, and release-quality recommendations.

Exposes the Polaris architectural fitness-function control plane's REST API as grouped MCP tools over stdio, letting agents manage tribes, squads, fitness targets and functions, measurement sources, submissions, evaluations, waivers, insights, and events. Handles Google OIDC login and silent token refresh automatically, and submits measurements with an ingest API key.