"General information about web search" matching MCP servers:

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

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

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

Provides a web search tool with citations by running Claude Code CLI in an isolated Docker container, enabling search even in environments without direct Anthropic web search support.

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

Enables real-time web search via DeepSeek's search-enhanced dialogue, providing search results as answers through MCP tools.

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.

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

Enables MCP clients and a terminal CLI to run web searches through a user's own SearXNG instance, saving every query as a reusable session and optionally generating AI-synthesized answers.

Enables web search across multiple search engines (DuckDuckGo, Bing, Startpage) with parallel execution and result deduplication. Also provides web page content extraction capabilities.

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.

Enables free web searching using Google search results without the need for API keys or authentication. It returns structured data including titles, URLs, and descriptions with configurable result limits.

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.

Enables agents to run web searches and fetch HTTP(S) pages as Markdown via the DeepSeek Search/Fetch API, returning titles, URLs, summaries, publication dates, authority scores, and optional page content. Supports advanced query operators like site:, exact phrases, exclusion terms, lang:, and date-range filters, with retries, timeouts, and structured errors.

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

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.

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