"Information about SQL (Structured Query Language)" matching MCP servers:

A fast, dependency-light MCP server that converts web pages into clean Markdown, structured metadata, and classified links for language models.

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

Enables web searches through DuckDuckGo with customizable parameters like region, safe search, and time limits. Provides structured search results, recent search resources, and research planning prompts for comprehensive information gathering.

Load and parse webpages using natural language queries to extract structured data. Manage browser sessions for interactive automation and retrieve usage metrics.

Provides AI-powered web search, full-page content extraction, and search-enhanced Q\&A capabilities via the Metaso AI search engine. It enables large language models to access diverse information across web, academic, and multimedia sources with structured Markdown or JSON output.

Enables users to query weather information for Israel via Playwright browser automation and for the USA via a weather API, allowing an LLM to access real-time weather data and alerts.

An MCP server that provides structured Google Search capabilities including web, images, news, videos, maps, and local places via the AceDataCloud SERP API. It enables AI clients to perform localized searches and retrieve detailed information from the Google Knowledge Graph.

Enables web search with configurable filters (engine, language, time-range, domain, page) and provides current tier and quota information via the Prismfy Search API.

Enables Large Language Models to perform real-time web searches using Google Custom Search API. Integrates with Claude Desktop to retrieve current information from the internet.

An MCP server that allows users to check if a website is experiencing downtime by querying isitdownrightnow.com, providing status information and details about recent downtime events.

This MCP server utilizes DuckDuckGo for web searches, providing structured search results with metadata and features like smart content classification and language detection, facilitating easy integration with AI clients supporting the MCP protocol.

Enables web search capabilities through the Tavily API, allowing users to perform web searches and retrieve information from the internet through natural language queries.

Enables web search capabilities through the Tavily API, allowing users to search the web for information using natural language queries. Demonstrates MCP (Model Context Protocol) server implementation with stdio transport mode.

Enables web search capabilities through the Tavily API, allowing users to search the web for information using natural language queries through the Model Context Protocol.

Enables web search capabilities through the Tavily API, allowing users to search the internet for information using natural language queries. Built as a demonstration MCP server running in stdio transport mode.

E2LLM — structured browser perception for AI

Enables browser automation through MCP with native Playwright operations, deterministic assertions, and natural-language grounded actions, structured extraction, and bounded agent workflows over live page elements.

Enables AI agents to interact with web browsers using natural language, featuring automated browsing, form filling, vision-based element detection, and structured JSON responses for systematic browser control.

An MCP server that enables AI assistants to control a web browser through natural language commands, allowing them to navigate websites and extract information via SSE transport.

Skyvern MCP server lets AI agents control a real browser to navigate websites, fill forms, authenticate, and extract structured data. Supports multi-step automation workflows via natural language.