"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.

Enables LLMs to run web searches through a single tool that fuses five providers in a tiered cascade, falling back from free sources to paid ones only when needed and returning the full routing chain. Ships with a one-click installer that detects and wirelessly configures ten AI agent CLIs.

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 AI assistants to search the web, conduct deep research, extract web content, and get AI-powered answers in real-time via the KEIRO API.

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 web search capabilities through the Tavily API, allowing users to perform web searches and retrieve information from the internet. Includes additional Polygon API integration for enhanced functionality.

Enables web search capabilities through the Tavily API, allowing users to perform web searches and retrieve information from the internet through natural language queries.

Enables web content retrieval and semantic search capabilities through the Jina AI API. Provides tools to fetch content from URLs and perform intelligent web searches with natural language queries.

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

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 looking up Chrome Web Store listing data — a single extension by its 32-character id, free-text search across extensions, and extensions attributed to a given publisher. Returns details such as name, rating, rating count, user count, version, last-updated date, category, and website.

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 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 performing local web searches and extracting structured content from web pages using the Model Context Protocol, featuring customizable result limits and domain filtering.

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 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.

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

Amenbo is a Japanese-web-native MCP server for low-impact, token-efficient web collection, enabling agents to fetch, outline, and screenshot web pages while respecting robots.txt and optimizing for Japanese sites.

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.

Searches rule34.xxx posts by tag through the site's API, returning each post's page, file, dimensions, score, rating, and full tag list along with the total match count. It requires a user's rule34.xxx API key and user ID to operate.