"How to look up websites using a search engine without APIs" matching MCP servers:

Enables AI to perform fast, multi-source web searches and research through tools for web, social, news, GitHub, and document analysis.

Enables Google search queries and webpage content extraction through an MCP server deployed on Cloudflare Workers. Supports single and batch webpage content extraction with integrated OAuth authentication.

Enables AI assistants to read web pages as clean Markdown, build link previews and Open Graph share images, and extract structured data from job postings and resumes (including scoring a resume against a job). It also computes win probabilities and player rankings with Elo, Glicko-2, or OpenSkill across 1v1, team, and free-for-all formats.

Enables MCP clients to perform intelligent web searches via Traylinx's Agentic Search API, returning text summaries and structured data like HTML, images, and news.

Enables fetching weather forecasts for the USA via NWS API and for Israel via browser automation using Playwright.

MCP server giving AI agents 86 tools for browser automation via Chrome DevTools Protocol, including navigation, click/fill ladders, network inspection, per-site cracks, and optional marketplace for site-specific knowledge packs.

An MCP server that searches and scrapes multiple sources concurrently (web, DuckDuckGo, Wikipedia, arXiv, Hacker News) and renders an interactive picker UI where users can multi-select sources and delve into full page content.

Provides an MCP server that enables web search and page extraction across multiple providers with automatic failover and quota rotation, plus a local dashboard for managing keys, engine order, and request history.

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 web search without API keys using DuckDuckGo and Bing search engines, and retrieves webpage content. Supports multiple search engines simultaneously with privacy protection and asynchronous processing.

Enables broad web search for current, time-sensitive information, returning short title, URL, and snippet results rather than full pages. It supports region and result-count parameters through a keyless multi-engine backend.

Enables Claude to perform real-time web searches and fetch web page content via MCP, using OpenAI-compatible APIs with optional Tavily or Firecrawl engines.

A multi-engine web search MCP server that integrates with coding agents, offering parallel search, page fetching, X/Twitter search, deep research, and configurable free/API layers.

Enables MCP clients to search the live web and fetch any URL as clean text through Ollama's web search and fetch APIs, returning ranked results with page text and outgoing links. Runs as a single dependency-free stdio server, so agents can ground their answers with current web content without a separate search vendor.

CLI-first web and code search for agents, with MCP support for integration with IDEs like Cursor, VS Code, and Claude Code.

Wraps the local agy CLI into an MCP server to provide a web_search tool that enables Claude Code to perform real internet searches through Gemini/Google.

Enables AI agents to perform keyless web search through a self-hosted SearXNG instance, returning engine-transparent results and configuration guidance when JSON output is disabled.

Enables web search via a real browser for any LLM, bypassing anti-bot measures without API keys.

Provides AI-driven web search, page fetching, and site mapping with real xAI citations, enabling LLM clients to access up-to-date external information.

Enables search capabilities using a Google Custom Search Engine, allowing users to input a search term and retrieve search result titles, links, and snippets, while facilitating integration with other tools for content extraction and advanced search strategies.

Production HTTP 402 micropayment web scraper, Llama-3 digest, and Twitter intelligence engine for AI agents on Base L2. Zero API keys, zero subscriptions.

Enables deep web search across multiple providers including Google, Bing, Brave, DuckDuckGo, and Perplexity, with support for comprehensive AI-powered research using intelligent multi-engine queries.

Aggregated search API service that provides real-time web search capabilities for AI assistants via MCP.

Enables AI agents to perform web searches using the Brave Search engine, providing an independent alternative to Google/Bing.

Enables users to discover jobs by target titles and countries, rank job descriptions by skill coverage across all imported resumes, generate tailored ATS-ready resumes and cover letters, and fill and submit requested application batches through a signed-in AI host with browser access.

Enables English and Chinese web search through zero-key sources, plus optional paid providers under an explicit routing policy, without requiring an API account to start. Returns compact multi-source results that preserve provenance, provider failures, and bounded evidence budgets so agents can inspect how each result was found.

Enables English and Chinese web search without an API key, returning compact multi-source evidence with provenance, visible provider failures, and bounded request and evidence budgets, while optionally using paid providers under an explicit policy.

A Model Context Protocol server that enables AI assistants to perform web searches using Google Search API, returning up to 20 search results in JSON format.

Enables free-first English and Chinese web search without API keys, returning compact multi-source evidence with visible provider failures and bounded request/evidence budgets, while optionally using paid providers when policy and credentials allow.

It enables AI agents to call a small set of reliable, permission-aware tools generated from an existing website through the Model Context Protocol, without rebuilding the site.