"Deep research on Gemini" matching MCP servers:

Just to be clear about the final JSON: the MCP server is named herdr-inbox, and it enables Claude Code agents in herdr to ask questions asynchronously without stalling, with all open questions answered from one popup and answers routed back to the asking agent.

Enables users to create and refine a research outline, queue report generation in the background, and retrieve progress or completed Markdown reports, with automatic checkpointing so unfinished work can resume after a restart.

Enables multi-turn conversations with Google Gemini AI models, supporting file and image analysis, automatic model selection, deep thinking mode, and Google Search integration through the AIStudioProxyAPI backend.

Provides 23 tools for Google's Gemini API, enabling chat, multimodal analysis, deep research, file management, and YouTube analysis via natural language.

Enables autonomous web research, file management, and dynamic UI dashboard generation through Gemini LLM and FastMCP.

Enables AI tools to access local crypto market data, run analyses, perform 66-item deep research, search RAG context, and retrieve generated reports and prompts via MCP.

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.

This server enables deep, local cryptocurrency token research by aggregating CoinGecko, CoinMarketCap, DeFiLlama, and web-search data, generating structured plans, saving resources, and tracking research progress without API keys.

Enables deep, fully local cryptocurrency token research across CoinGecko, CoinMarketCap, DeFiLlama, and web sources, with structured plans, live market and DeFi data, source lookups, and saved resources. It works without an API key and keeps data on the user's machine.

Enables deep crypto token research by gathering and structuring data across CoinGecko, CoinMarketCap, DeFiLlama, and web search without API keys. It creates research plans, tracks section status, saves sources as resources, and generates comprehensive token reports locally.

Bridges MCP clients to the Windows ChatGPT Classic desktop app, letting them drive Think-mode deep research queries through UI automation with topic-based session reuse, optional research-prompt templates, and a tool to diagnose the app window and Think toggle state.

Enables fully local, zero-cost autonomous research by planning questions, searching and reading web pages, generating cited summaries or reports, and retaining semantic memory across sessions.

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.

A Model Context Protocol server that wraps the Gemini CLI, enabling AI assistants to send prompts, research topics, analyze code, and summarize content using Gemini.

Enables local deep research on crypto tokens by aggregating CoinGecko, CoinMarketCap, DeFiLlama, and web search data into structured reports, with tools for market metrics, TVL, exchange listings, resource storage, and status tracking without requiring an API key.

Enables deep, fully local research on any crypto token by pulling live market data, exchange listings, protocol TVL and web results from CoinGecko, CoinMarketCap, DeFiLlama and more. Runs with no API key required and assembles structured reports covering fundamentals, market data and sentiment.

Multi-purpose research MCP server integrating web search, deep research, web scraping, research methodology routing, and GPT Researcher report generation.

Provides real-time web research and URL summarization capabilities using Gemini 2.5 Flash with native Google Search grounding. It enables users to perform factual searches and summarize web content directly within MCP-compatible clients like Claude Desktop.

Enables researching YouTube channels and videos by listing uploads, reading transcripts, extracting frames, and searching, without needing a YouTube API key.

A multi-agent research system that decomposes complex queries into targeted sub-questions, searches the web in parallel, scores source credibility, and synthesizes findings into structured markdown reports.

Enables MCP clients like Claude to analyze public YouTube videos by asking questions grounded in both audio and visuals through the Google Gemini API.

Deep Research infrastructure for AI agents. Search the web, read pages incrementally, follow source links, and collect relevant evidence across multiple sources. Web search runs through your own SearXNG instance, while the agent remains in control of research planning and reasoning. Cluefinch runs locally over MCP stdio.

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.

Enables AI agents to run local deep-research workflows via a single MCP stdio server, combining web search, page extraction, query-aware distillation, and caching without cloud quotas. It exposes tools for deep research, search, and single or batch URL reading.

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 federated multi-source research by fanning out queries across web, community, and social sources, deduplicating and interleaving results, and storing a persistent corpus for cross-checking.

Enables AI-powered web browsing automation using Google's Gemini 2.5 Computer Use API. Allows agents to navigate websites, click buttons, fill forms, and extract information through natural language commands with real-time progress tracking.

Enables semantic search across personal PDF paper collections with page-level citations, allowing users to query their library from any MCP-capable client.

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 Code to generate and edit images using Google's Gemini and Imagen models on Vertex AI, with support for multiple models, aspect ratios, and image fusion.