"Web and deep search functionality" matching MCP servers:

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

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

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

Provides a free web search tool to MCP clients by connecting to a self-hosted SearXNG metasearch instance, enabling users to search the web with customizable parameters like categories and time range.

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

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 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.

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.

Provides web search and content extraction for AI agents.

Provides a Google search tool via the Serper API, returning structured results and a summary answer for LLMs like Claude.

An open-source deep research MCP server that provides multi-source web search and synthesis with citations, enabling agents to perform citation-backed research using Qwen3-30B-A3B-Thinking and other models.

A Streamable HTTP MCP server that enables Google search capabilities using agy's OAuth session, deployable locally or on Cloudflare Workers/Vercel Edge.

Enables deep research tasks using a multi-agent architecture that integrates any LLM and MCP tools. Available via MCP stdio, streamable HTTP, and SSE transports.

Remote HTTP/SSE MCP server for web search with full page content extraction, search summaries, and API authentication.

Enables AI agents to run a virtual late-night bar in a shared alley world—mixing drinks, managing the bar, taking quests, and interacting with 50 residents through MCP tools, with the same save shared with a web frontend.

Provides web search capabilities to Claude AI using the Anthropic API, allowing LLMs to access up-to-date information from the web with customizable domain filtering.

A Python-based agent that integrates research providers (OpenAI, Gemini, DR-Tulu, Open Deep Research) with Claude Code via the Model Context Protocol for automated deep research.

A Model Context Protocol server that enables Claude to perform advanced web research with intelligent search queuing, enhanced content extraction, and deep research capabilities.

MCP server for multi-engine web search and web page fetching, supporting parallel search, content extraction, and optional LLM-powered search summarization and deep search.