"Deep research on Gemini" matching MCP servers:

An MCP server that performs iterative deep research using Google Gemini 2.5 Flash with search grounding and URL context, producing professional Markdown reports.

Enables AI-powered iterative research using Google Gemini 2.5 Flash with Google Search Grounding, conducting deep dives with configurable depth and breadth to generate comprehensive, professionally structured research reports.

Gemini MCP with image, video, svg, landing page generation and search. Grounded search, deep research, image generation... Having them as tools inside Claude beats switching between browser tabs.

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

An MCP server for deep research that performs search, scraping, synthesis, fact-checking, and persistent memory, enabling users to conduct comprehensive research tasks via Claude.

Deep Research for crypto - free & fully local 🧠

Enables iterative deep research by integrating AI agents with search engines, web scraping, and large language models for efficient data gathering and comprehensive reporting.

Provides semantic search and document retrieval via OpenAI Vector Store API, extending ChatGPT Deep Research with custom knowledge and tools.

Enables local, deep research on crypto tokens across CoinGecko, CoinMarketCap, DeFiLlama, and web search, with tools for live market data, exchange listings, protocol TVL, structured reports, and saved resources. It requires no API key and keeps research on your machine.

Enables deep, local research on crypto tokens across CoinGecko, CoinMarketCap, DeFiLlama, and web search, producing structured reports without requiring an API key.

Enables coding and research agents to run paid, cited deep research on AI infrastructure, MCP, and security topics via remote MCP tools, with query-tied excerpt packs and uncited or failed calls billed at $0.

Enables local deep research on any cryptocurrency token by aggregating market data, protocol metrics, exchange listings, web search results, and structured reports across multiple sources without requiring an API key.

Enables deep local research on any crypto token across CoinGecko, CoinMarketCap, DeFiLlama, and web search, with tools for market data, exchange listings, protocol TVL, saved resources, and structured reports—all without an API key.

Enables deep local research on crypto tokens by aggregating live market, protocol, exchange, and web-search data from CoinGecko, CoinMarketCap, DeFiLlama, and other sources without requiring an API key.

Enables deep, local research on cryptocurrency tokens by aggregating CoinGecko, CoinMarketCap, DeFiLlama, and web-search data into structured reports with resource tracking. Runs without API keys, keeping queries and results on the user's machine.

Enables local deep research on cryptocurrency tokens across CoinGecko, CoinMarketCap, DeFiLlama, and web sources, producing structured reports with market, TVL, exchange, and social data without requiring API keys.

A Model Context Protocol server leveraging Google's Gemini Flash 2 to analyze datasets, generate research papers, and deliver results via email.

An MCP server that enhances Brave Search results by using Puppeteer to extract full webpage content and explore linked pages, enabling AI assistants to perform comprehensive web research with configurable depth.

Provides web and local search capabilities via Brave Search combined with advanced academic paper analysis using Google's Gemini model. It allows AI assistants to perform real-time information retrieval and structured research synthesis directly through the Model Context Protocol.

Provides AI assistants with real-time web search, reasoning, and research capabilities through Perplexity's Agent API and Search API, enabling tools for search, conversational Q&A, deep research, and advanced reasoning.

Enables AI agents to perform professional-grade deep research by aggregating real-time data from multiple sources, evaluating source credibility, and generating comprehensive reports.

Official MCP server for the Perplexity API Platform, enabling AI assistants to perform real-time web search, reasoning, and deep research using Sonar models.

Tools for AI assistant's deep research: * Google search + webpage reading (incl. JS-rendered pages) * Document & decks analysis * YouTube transcript extraction * Patents + academic paper search * Company and competitors research * Prompts for comprehensive-research, fact-check, summarize-url, news-briefing, patent-portfolio-analysis, competitive-analysis, literature-review, technical-deep-dive

Enables AI agents to read public Instagram Reels without logging in, returning details, on-device timestamped speech-to-text transcripts, real video frames, preview comments, and Reel links harvested from web pages.

A keyless MCP server that lets agents search YouTube across multiple languages and queries, pull transcript highlights, ranges or query-matched passages, fetch real video frames, comments, chapters and channel outlier scores, all without an API key, OAuth or cookies. It also ships a research skill that plans multi-language queries, fans out to subagents, spot-checks quotes and reports coverage.

Enables searching and analyzing over 560,000 CS/AI/ML research papers with LLM-powered novelty scoring and summaries. Supports literature reviews, trend monitoring, benchmark tracking, and deep research sessions through 23 specialized tools.

High-performance Model Context Protocol (MCP) server connecting Claude Code and AI agents to Google Gemini 3.8 Flash, Gemini 3.1 Pro, reasoning effort, and image generation.

Enables Claude clients to delegate tasks such as web research with sources, reading PDFs, audio, video, images and web pages, image generation, and second opinions to Gemini running under a Google AI Pro subscription via the official Antigravity CLI in headless mode, with no API key or billing.

Integrates Google's Gemini AI models into Claude Code and other MCP clients to provide second opinions, code comparisons, and token counting. It supports streaming responses and multi-turn conversations directly within your existing AI development workflow.

Enables users to search and fetch Google's Gemini API documentation directly within an MCP-compliant environment. It provides structured access to guides and references for features like function calling, embeddings, and text generation.