"Collecting and Analyzing Server-Side Errors Based on MySQL, Redis, and Elasticsearch" matching MCP servers:

Complete Vinted MCP and CLI Server

Enables web search via Serper API with advanced search operators and webpage scraping capabilities to extract content in plain text or markdown format.

📈 提供股票、加密货币的数据查询和分析功能MCP服务器

Validates URLs and checks their reputation to help identify AI hallucinations and verify web page authenticity.

An MCP-native pipeline for collecting structured intelligence on higher education institutions using the WHED schema, enabling scraping, extraction, validation, and saving of profiles.

A fault-tolerant, stealth-enabled Model Context Protocol (MCP) server for web searching and content fetching. Built for AI Agents (Cursor, Claude Code, OpenCode), it uses a stealth browser engine to fetch pages, dynamically handles SPAs/React, and converts bloat into token-optimized Markdown.

Exposes Amazon Nova Act web automation capabilities through the Model Context Protocol, enabling AI agents to perform browser tasks like navigation, data extraction, and form interaction.

Provides web search and page fetching capabilities using Ollama's API.

An authless Cloudflare Workers server that provides tools to scrape, analyze, and answer questions about websites using Cloudflare's Browser Rendering and AI capabilities.

AI-native web scraper: scrape, crawl and map any site to clean markdown over stdio. MIT-licensed.

An MCP server that enables AI agents to access paid AI inference and web tools via HTTP 402 micropayments in USDC on Base, using the agent's wallet as identity.

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.

Enables AI clients like Claude Desktop to list mapped pages, trigger on-demand scrapes, and fetch snapshot data as JSON rows or Markdown.

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 that intelligently modifies CVs based on job descriptions using keyword extraction and strategic enhancement.

Enables web content scanning and analysis by fetching, analyzing, and extracting information from web pages using tools like page fetching, link extraction, site crawling, and more.

A Python MCP server for web research that enables fetching web pages, searching, batch-fetching, extracting links, and summarizing content via client-side sampling, with optional local file access.

Enables programmatic control of Safari browser on macOS for web automation, testing, and debugging via the Model Context Protocol.

Provides cloud-based browser automation capabilities that allow LLMs to interact with web pages, capture screenshots, and execute JavaScript. It eliminates the need for local browser installations by leveraging BrowserCat's API for navigation and UI interaction.

Enables LLMs like Claude to navigate the web through Puppeteer-based tools and Steel. Based on the Web Voyager framework, it provides tools for all the standard web actions click clicking/scrolling/typing/etc and taking screenshots.