"How to conduct web searches" matching MCP servers:

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

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

Wraps Xiaomi MiMo's web_search API into an MCP tool for Claude Code, enabling real-time web searches with location awareness, automatic retry, and timeout control.

Exposes Ollama's web search API as a web_search tool for Claude Code, enabling web searches (including sites other backends miss) with query and optional count parameters.

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.

Enables MCP clients to perform web searches and fetch HTTP(S) pages as Markdown through Search and Fetch APIs.

An MCP server that enables AI models to perform Google Web searches using the Gemini API, complete with citations and grounding metadata for accurate information retrieval. It is compatible with Claude Desktop and other MCP clients for real-time web access.

Enables privacy-focused web searches using DuckDuckGo and extraction of clean, readable content from web pages with support for parallel processing of multiple URLs.

Enables AI agents to perform web searches via DuckDuckGo without API keys and automate browser tasks with headless Chromium. Supports multi-step research workflows that automatically search and extract content from multiple pages.

Enables AI coding assistants to perform multi-engine web searches, site-specific searches, and structured webpage content extraction via MCP stdio, without requiring any API keys.

Enables AI agents to perform query-driven web searches and fetch page content via Bing and DuckDuckGo engines, with automatic fallback and no API keys needed.

Enables MCP clients to perform keyless web searches, extract fully rendered pages into clean Markdown, and automate a shared Chrome browser through page navigation, clicking, typing, reading, screenshots, and backtracking—all without API keys.

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 MCP clients to conduct search-first web research through source discovery, page retrieval by ID, and direct URL reading.

Enables comprehensive web searching and content extraction using multiple search engines (Bing, Brave, DuckDuckGo) without API keys. Provides tools for full web searches with content extraction, quick search summaries, and single webpage content retrieval.

Enables MCP clients to perform DeepSeek-native web searches through the Anthropic-compatible Messages endpoint, returning summarized results with cited sources.

Enables MCP clients to perform web searches and fetch web pages over HTTP, using Exa and Parallel AI as search providers without requiring API keys.

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.

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 free web searches using DuckDuckGo results without requiring API keys or authentication, returning structured titles, URLs, and descriptions with a configurable result limit.

Enables AI agents to perform web searches, extract webpage content, and conduct end-to-end search-and-extract operations using multiple search providers and content extraction methods.

Enables AI-powered web searches using DuckDuckGo with automatic summarization via Google's Gemini AI. Supports both summary and detailed analysis modes for search results.

Enables performing Google searches and retrieving content from the top 5 non-social media results. Returns crawled web page content as a single consolidated string for analysis.

An advanced web search and scraping server that enables AI models to perform targeted DuckDuckGo searches and extract clean content, tables, and metadata from webpages. It provides specialized tools for news discovery, link extraction, and comprehensive search-and-scrape workflows.

MCP server that parses web pages into clean markdown via Crawl4AI's HTTP API, exposing parse_page and health-check tools with configurable proxy and timeout.

A web-fetch MCP server for LLM agents that fetches pages with an escalation ladder through different engines, raising FetchBlocked instead of returning blocked content.

Routes web requests from AI tools through Tor for anonymized fetching, with selective per-URL routing to bypass Tor-blocking sites.

An open-source MCP server providing AI agents with neural web search via Exa and tiered web fetch (Exa, local browser, Firecrawl) as a drop-in replacement for built-in web tools, preserving provenance and guarding against SSRF.

Enables AI assistants to perform web and image searches through a Google Programmable Search Engine, with pagination, language/country filters, and safe search.