"Web Search" matching MCP servers:

Enables web searching using Google search results with no API keys required.

Enables web searching via DuckDuckGo, fetching webpage text, and checking URL availability in LM Studio Bionic.

A local MCP server that gives Claude Code web search capabilities using DuckDuckGo, enabling discovery of URLs from natural language queries.

Enables web searches through DuckDuckGo without an API key and extracts readable main content from web pages.

Enables web search and web fetch operations using Ollama's hosted APIs, allowing MCP clients to search the web and retrieve page content.

Provides LLMs with real-time web search and content extraction capabilities, including text/news search, full-text URL reading, and targeted technical documentation search.

An MCP server that enables Claude Code to perform web searches via Bing, read webpage content, and get current time, with a smart search skill for structured multi-source verification.

Provides DuckDuckGo web search and site fetching tools for Claude Desktop, enabling up to 10 search results and text content extraction from URLs.

Multi-source web search MCP server with RRF fusion, 4-layer URL extraction, and provider health tracking.

Enables web searching via DuckDuckGo and extracting readable content from any URL using Mozilla Readability, providing web context similar to Cursor's built-in functionality.

Provides multi-provider web search capabilities with fallback chains, semantic reranking, and content extraction for grounded agent retrieval.

Enables web search using Bing and DuckDuckGo combined, and fetching readable content from web pages, with no API key required.

Provides eight tools for web search, content extraction, screenshots, PDFs, JavaScript execution, crawling, and Wayback Machine snapshots and archiving.

Enables AI agents to search the web, read and extract content from webpages, fetch JSON from REST APIs, and collect links while bypassing anti-bot protections.

Enables web search via DuckDuckGo and web content fetching through the Model Context Protocol, allowing AI assistants to search and retrieve web page content.

Enables web searching through Google, DuckDuckGo, and Bing using a headless Chrome browser, returning structured results with titles, URLs, and snippets. Also supports fetching and extracting text content from any webpage.

An experimental MCP search server for Claude Code. Returns raw, verbatim web content instead of AI-rewritten summaries.

Enables web search, page fetching and cleaning, OCR from images, and broken-link checking through MCP tools, with multi-provider aggregation, caching, and anti-detection features.

Provides web search and page fetching capabilities via Serper.dev or DuckDuckGo, deployable on Render with SSE transport.

Provides 19 tools for web search, content fetching, and extraction, including DuckDuckGo search, YouTube transcripts, and webpage screenshots.

Provides ad-filtered web search and full-page content reading, including multi-page and JavaScript-rendered pages, with source verification and configurable search providers.

Enables fetching and extracting text from URLs, searching the web via DuckDuckGo and Yandex, and retrieving page links through MCP tools.

Provides web search and page fetch capabilities using a browser-based approach, enabling LLMs to search DuckDuckGo, Google, or Yandex and retrieve rendered HTML from URLs.

A high-performance search service that converts results from Google, Bing, and DuckDuckGo into structured JSON or Markdown. It features multi-layer depth crawling and uses the Camoufox anti-detection browser for reliable content extraction and fallback search logic.

Enables AI agents to browse and interact with JavaScript-rendered websites stealthily, and to delegate research or automation tasks to sub-agents that can cite sources and produce reusable scripts, with full logging and a live dashboard.

Enables AI agents to run local multi-engine web searches, fetch pages through anti-bot fallback chains, and query site-specific sources such as GitHub, npm, PyPI, Docker Hub, and Twitter/X for structured results.

Enables AI assistants to perform basic and advanced real-time web searches through the Exa API, returning markdown-formatted results with titles, URLs, publication dates, and content summaries.

Enables AI assistants to perform basic and advanced real-time web searches through the Exa API, returning Markdown-formatted results with titles, URLs, publication dates, and summaries. Supports filtering by domains, required text, and date ranges.

Enables AI assistants to perform basic and advanced real-time web searches through the Exa API, with domain, required-text, and date filters, returning Markdown-formatted titles, URLs, publication dates, and content summaries.

Enables MCP-compatible agents to perform web searches via the agent-web-search engine, returning ranked results with sources.