"Deep research on Gemini" 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.

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

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 AI-powered web searches using Google's Gemini 2.5 models with Google Search Grounding. Supports multiple Gemini models (Flash, Flash-Lite, Pro) with configurable thinking budget and web search capabilities.

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 automated research agent that leverages Google Gemini models and Google Search to perform deep, multi-step web research, generating sophisticated queries and producing citation-rich answers.

An MCP server for automated interaction with Gemini's web interface using Playwright and LangGraph, enabling task execution, deep research, file uploads, chat management, and dynamic selector verification via MCP tools.

A Model Context Protocol (MCP) server implementation for the Google Gemini language model. This server allows Claude Desktop users to access the powerful reasoning capabilities of Gemini-2.0-flash-thinking-exp-01-21 model.

Orchestrates distributed research drones on Google Cloud Run, enabling scalable and bidirectional research task management.

Enables ChatGPT to delegate writing, analysis, second opinions, and Japanese text polishing to Gemini through a single ask_gemini tool, without copying text to Gemini's web interface. Self-hosted on Cloudflare with your own Gemini API key and Google login.

Enables Claude Desktop to run Perplexity web searches and deep research that survive the client's tool-call timeout, using background jobs whose results are collected later. Answers include numbered sources and the real cost of each query.

Enables seamless real-time collaboration between Claude Code and the Gemini CLI for discussing ideas and refining solutions. It provides tools to initiate collaborative sessions, consult Gemini with context preservation, and access conversation history.

An Omni Agent MCP server that provides AI models with 8 external tools for real-time data retrieval, Wikipedia search, and arithmetic operations, designed for deployment on Google Cloud Run and integration with Gemini Enterprise via Vertex AI Extensions.

A multi-model research agent platform supporting Claude, Gemini, and OpenAI models with web search capabilities, thinking-enabled features, and citation support for advanced research workflows.

Zero-dependency context baton and compression server for AI coding agents. Hands off structured session state (.vicem/BATON.md) across Claude Code, Codex, Cursor, Gemini CLI, and 15+ agents, skeletonizes source code by 80-90% with lossless on-demand MCP rehydration (vicem_rehydrate), slims test logs by 95%, and redacts secrets locally.

Aggregates and routes multiple MCP servers with intelligent tool recommendation and batch parallel execution, enabling unified access and efficient tool usage.

Enables an AI agent to delegate self-contained tasks to other agent CLIs already installed and signed in on the same machine — Claude, Codex, Gemini, or a local Ollama model — using their existing subscriptions with no API keys. Supports synchronous single-call delegation plus background tasks that can be started and polled for longer-running work.

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.

MCP server bridging Claude CLI to Gemini CLI, Codex, Cursor - queries, and search with hardened subprocess management

An MCP server that bridges multiple AI clients (Claude, Gemini, Codex, OpenCode) so they can call each other as tools.

A meta-MCP server that aggregates authoritative web search and browser research tools, providing a unified interface with a cost-efficient fetch ladder for web research.

A multi-engine web search MCP server that integrates with coding agents, offering parallel search, page fetching, X/Twitter search, deep research, and configurable free/API layers.

A lightweight MCP server bridging AI agents to Google's Gemini AI via official CLI

Enables AI assistants to query Google AI (Gemini models) via Vertex AI or Google AI Studio with automatic tool selection, multi-turn reasoning, and multimodal input support.

An MCP server that enables web search capabilities using OpenAI's o3 model, allowing AI assistants to perform text-based web searches and return AI-powered results.

A small local MCP adapter that lets Claude Code delegate bounded research work to Codex plan credits without giving the worker ownership of the final report.

Enables MCP clients to connect to Exa for web search, retrieving URL contents, deep cited-answer search, and research-agent runs. It provides Exa search, content, and research tools with filtering, structured output, and cost reporting.

An MCP server that lets OpenAI Codex delegate tasks to Google Gemini agents as isolated background workers, with Git worktree isolation, loop detection, and security boundary enforcement.

Routes AI tasks to appropriate local LLM models (quick, coder, MoE, thinking) with automatic model selection, multi-backend support (Ollama, llama.cpp, Gemini), and parallel processing capabilities.

Enables AI assistants to create council hearings where multiple LLMs (Claude, GPT, Gemini, Grok) debate topics and synthesize verdicts with trust scores and diverse perspectives.