"How to query a MySQL database" matching MCP servers:

根据关键词获取小红书的热帖数据，需要钉钉扫码登录，配合 Chrome 使用。

Enables AI-driven job application automation for LinkedIn and SEEK platforms with intelligent cover letter generation, automated application submission, and application tracking management. Supports anti-detection measures and complies with platform usage policies for safe job hunting automation.

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.

Enables AI assistants to perform web and image searches through a Google Programmable Search Engine, with pagination, language/country filters, and safe search.

MCP server for remote web scraping, providing a scrape_web tool that fetches pages and extracts content as markdown or JSON, supporting CSS selectors.

Web search for AI agents across 6 engines (Serper, Brave, Exa, Tavily, Firecrawl, Perplexity) through one search tool. Routes each query to the cheapest engine that clears a quality bar and caches repeats. Hosted, streamable-HTTP, BYOK supported.

基于百度图片搜索API，支持图片搜索、下载及格式转换的MCP服务器。

MyChart MCP Server

Screen-reader navigation cost analyzer. Measures how hard it is for assistive-technology users to discover, reach, and operate interactive targets on the web.

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

Zero-Config, Fully AI-Managed End-to-End Testing for all code gen platforms.

Model Context Protocol server exposing the SCOUTS-AI web search API as a single web_search tool for AI agents. No API key required.

MCP server that provides a search_web tool to query a self-hosted SearXNG instance and return structured web search results.

Fetches and analyzes website content to provide business context to AI agents, designed for Voice AI in GoHighLevel.

A website audit MCP server that provides free tools to check on-page SEO elements like titles, descriptions, and images across up to 20 pages, and also validates robots.txt, sitemap.xml, and llms.txt accessibility.

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.

Reads a small-business website like a customer would and shows where they get stuck. Every AI answer has to quote the page, and the server checks the quote before it counts.

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.

Provides an LLM with a real Chromium browser to perform web tasks, recording every action into a structured trace for later verification of goal completion.

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.