"A search engine for OECD statistics and data" matching MCP servers:

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.

A Model Context Protocol server that provides web search capabilities using Google Custom Search API and webpage content extraction functionality.

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.

MCP server that gives AI agents access to current web information through web_search and fetch_url tools, using Tavily, Brave, and DuckDuckGo providers with automatic fallback.

Provides a local MCP server for AI-powered web crawling on Windows, enabling agents to directly crawl and extract web content without requiring WSL.

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

MCP server for structured web data access, enabling local-market research and lead-list enrichment by returning business names, locations, ratings, and review signals from concrete queries.

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.

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 users to search Reddit by keyword or subreddit, read thread URLs with comments, filter and sort results, and receive flat post and comment rows without needing a Reddit login or API key.

Enables any MCP-capable harness to run queries through a real browser driving real search engines in a configurable fallback chain (Google, DuckDuckGo, Bing, Baidu, Sogou), with CAPTCHA or sign-in handoff, persistent per-engine cookies, and reported provenance for each result.

A self-hosted MCP server for web search with multi-engine support, combining search, URL fetching, and deep research along with proxy routing and deduplication.

Enables B2B lead generation through Apify's Prospect Engine actor, supporting company enrichment, job discovery, contact finding, and full ICP-gated outreach workflows.

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.

Gives Claude control of a real, headed Chromium browser via Playwright, enabling web navigation, clicking, typing, screenshots, and JavaScript evaluation.

19 public-data tools for AI agents: Google SERP with full AI Overviews, Google AI Mode, Southeast Asia + global news mentions, Google Maps, Jobs, Trends, Ads Transparency, website contacts, YouTube, TikTok and more. Each tool runs a pay-per-result Apify actor on your own Apify token, with a per-call spending cap.

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.

A Model Context Protocol server that enables web searching using the Serper API for Google search results, with optional web page content fetching.

Automatically crawls documentation websites, converts them to organized markdown files, and generates condensed cheat sheets. Intelligently categorizes content into tools/APIs and provides local-first access to downloaded documentation.

Enables AI agents to perform web search, extraction, and research across multiple provider backends with persistent multi-key rotation and auditable routing. Supports MCP, CLI, and Agent Skill entry points.

A Model Context Protocol (MCP) server for integrating Google Search capabilities into AI applications.

Enables AI agents to crawl live websites, audit AEO readiness, generate Schema.org @graph JSON-LD, llms.txt, ai.txt, and robots.txt, inject structured data into HTML, validate optimizations, and retrieve framework-specific code snippets.

Multi-engine aggregated search MCP server that combines results from 7 search engines with deduplication, relevance ranking, and web page content extraction.

Enables one-call parallel querying across multiple search engines, aggregating and deduplicating results while automatically falling back to mainland engines when overseas sources are unreachable.

Enables AI agents to query structured data refined from unstructured web sources, including developer breaking changes, B2B pricing matrices, regulatory compliance, semantic search, and on-demand URL refinement.

MCP server providing data tools for AI agents (agentkit-data-mcp).

Provides keyless, privacy-focused web search through DuckDuckGo and SearxNG via MCP, with token-efficient tool discovery and caching.

Aggregates security research articles from WeChat, QAX Butian, and Xianzhi community, with optional KimiCode web search. Supports smart deduplication, article fetching, and anti-bot measures.

MCP server providing web search, fetch, and crawl capabilities for AI agents via the spider.cloud API, with caching, cost controls, and robust error handling.