"A server for deep research using Google search" matching MCP servers:

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.

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 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.

Web search, clean page reading & one-call research dossiers for AI agents. No API key — your agent does the synthesis.

Provides specialized AI-powered comprehensive research and analysis capabilities by integrating with advanced deep research agents, offering unlimited queries with no rate limits and faster performance than comparable services.

An agent-based tool that provides web search and advanced research capabilities including document analysis, image description, and YouTube transcript retrieval.

An MCP server that provides Google Search functionality with automatic API key rotation and intelligent quota management, enabling natural language search queries with advanced filtering options.

A Playwright-based tool that performs Google searches and extracts results while bypassing anti-bot mechanisms, providing real-time search capabilities for AI assistants.

MCP server for Google Search Console API, enabling search performance analysis, URL inspection, sitemap management, and property listing. Supports local, self-hosted, and Cloudflare Workers deployments.

MCP server for Google Search Console: properties, sitemaps, search analytics and URL inspection

Enables AI agents to query and analyze Google Search Console data, including search analytics, URL inspection, sitemaps, and property verification, and to perform actions like submitting sitemaps and adding properties through natural language.

A powerful Model Context Protocol (MCP) server that provides enhanced Google search capabilities with advanced anonymization and anti-detection features.

MCP server for searching images with Google

Connects Google Search Console to AI assistants, enabling SEO data analysis through natural language conversations.

Enables MCP clients to query Google Search Console search performance, inspect indexing, analyze sitemaps, and run SEO analyses such as cannibalisation detection, query clustering, and wins/losses, all with read-only access.

Enables comprehensive academic research by searching and analyzing papers from PubMed, Google Scholar, ArXiv, and JSTOR. Provides full-text access, citation management, and research organization through five powerful consolidated tools.

Enables AI agents to fetch Google Search Console search analytics reports (clicks, impressions, CTR, position) over MCP, with support for custom date ranges, dimensions, filters, comparisons, and exports.

Enables Google search queries and webpage content extraction through an MCP server deployed on Cloudflare Workers. Supports single and batch webpage content extraction with integrated OAuth 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.

An MCP server for academic literature research that integrates Scopus, CrossRef, OpenAlex, and Unpaywall to search documents, get abstracts, author profiles, citing papers, and open-access PDF links.