"How to fix SonarQube findings" matching MCP servers:

Fetches a URL and returns the main content as clean Markdown, using plain HTTP when possible and headless Chromium for JavaScript-rendered or bot-protected pages.

Web search, crawling and ranking evaluation on your own YaCy peer: no API key, no central service. Results carry author-signature verdicts and declared tags.

Enables users to look up any company's Google advertising by domain or verified advertiser name, returning one row per ad with its format, first and last shown dates, creative link, and Transparency Center permalink. Also returns a per-company summary stating whether the advertiser runs Google ads, roughly how many, and in which formats, with unfiltered by region, format, recency, or ad count.

MCP server for AgentMinds collective intelligence platform, enabling AI agents to scan websites for security/SEO/performance issues, pull personalized recommendations, and share findings across the network.

MCP server that converts web page URLs to Markdown via the Zyla API.

Enables resolving the likely employer behind Gmail, Outlook, iCloud, Yahoo, and other free-mail signups by checking public Gravatar profiles, signed GitHub commits, and LinkedIn results. It returns the person’s name, employer, employer domain, confidence score, and evidence URLs.

Offline-first MCP server for TwitterAPI.io docs (endpoints, pages, blogs) with fast fuzzy search.

MCP server for broken link detection, monitoring, and AI-powered fix suggestions. Scans URLs or sitemaps, estimates SEO and revenue impact, and returns actionable remediation steps. Built with FastMCP 3.x.

Audit any website for privacy, security, accessibility, and performance issues — with scores, grades, and actionable fix instructions. No account required.

Exposes OptiQra's full SEO/GEO/AEO audit and AI-fix/insight tools as MCP tools for AI clients like Claude, Cursor, and Windsurf. Use natural language to crawl URLs, analyze performance/a11y/security, and generate AI-driven fixes and strategy insights.

Enables AI assistants to perform comprehensive research by searching Google, mining Reddit discussions, scraping web content with JS rendering, and synthesizing findings with citations into structured context.

A basic MCP server setup guide demonstrating how to configure and run Python-based MCP servers with integration examples for Bright Data web scraping and Apify Actors for product data collection.

MCP server for GEO site audits, checking 31 signals across 6 pillars and returning a score, breakdowns, and actionable fix prompts.

Exposes three read-only MCP tools that let an assistant check whether specified AI crawlers are allowed by a site's robots.txt and how a URL responds when fetched with each bot's user-agent, fetch a page as a single named bot, and generate a robots.txt that welcomes AI crawlers.

Enables any MCP client to run keyless multi-engine web searches with RRF fusion, fetch pages and documents as Markdown, and full-text search a local SQLite index. It keeps queries and cached content on the user's machine, degrading gracefully across engine tiers when providers are blocked or rate-limited.

Enables converting a public release-note URL into ordered upgrade tasks with source excerpts, anchors, confidence, and uncertainty, without executing release text or project code.

Adds fdl-mcp-server — published on npm at https://www.npmjs.com/package/fdl-mcp-server Five tools any MCP client can call to analyze small business websites: * audit_website — deterministic 5-pillar scorecard (Performance, SEO, Mobile, Security, AEO) with a 0–100 score and specific findings * compare_websites — side-by-side scorecard of two sites with a winner * ai_visibility_check —

MCP server for fetching daily hot lists from 30+ sources with built-in caching and batch requests.

Enables AI agents to scan live websites for Russian 152-FZ personal data compliance, retrieve violations with potential fines and machine-actionable fix instructions, and rescan after applying fixes, while also listing checks, past scans, and account quota.

Enables AI agents and compatible MCP clients to fetch, search, and download web content—including .onion services—anonymously through the Tor network, using a fresh circuit per call and retrying when exit nodes are blocked.

Analyzes websites for broken links, missing meta tags, and redirect chains. Returns a structured report with a health score and fix suggestions.

Enables users to fetch a page's raw HTML as a real browser would, render it view-source style with line numbers and highlighted matches, and capture proof screenshots. Also returns matched line numbers and text so findings can be cited without taking a shot.

Turns Screaming Frog crawl data into a prioritized, evidence-backed SEO action plan by grouping affected URLs into shared findings with transparent severity, confidence, and internal-link importance. Generates an offline HTML report and supporting CSVs from a local, bounded snapshot of the crawl.

Enables AI assistants to check how discoverable a website is to AI search engines and assistants by inspecting signals like crawler access, llms.txt, structured data, and on-page metadata, and returning a 0-100 visibility score.

Enables AI assistants and agents to search Taiwan job boards (104 人力銀行, Yourator, and foreign companies' Greenhouse/Lever career boards) for postings, company profiles, and salary statistics. Areas and job categories are given as plain Chinese names, with no account or API key required.

Enables AI agents to fetch one or many web pages concurrently and receive clean, LLM-ready Markdown with navigation, ads and boilerplate stripped away, plus extracted metadata such as title, description, author, Open Graph tags and canonical URL. It runs locally over stdio with no API key or account, requiring only a single command.

MCP server for the Internet Archive's Wayback Machine. Search archived snapshots, extract page text from a specific date, track how a site has changed over time, check if broken links are recoverable, and perform research across Internet Archive collections.

Real-time web intelligence with freshness timestamps. Every extraction returns a dated envelope so AI agents know exactly how old the data is. Covers GitHub, HN, Scholar, arXiv, YC, jobs, finance, and package trends.

Provides Baidu hot search and Bilibili trending video data for Claude and Cherry Studio, supporting retrieval, search, and cache management.

Combines Bing Webmaster data, GA4 AI-traffic opportunity matching, technical SEO scanning, AI-search content audits, approval-gated WordPress fix preparation, live verification, Bing URL submission, and IndexNow integration to help marketers improve pages for human readers and AI search.