"Using Gemini CLI for research purposes" matching MCP servers:

Integrates the local gemini CLI tool with Claude Code, allowing Claude to execute Gemini AI queries via the MCP protocol.

Enables AI assistants to delegate complex tasks to the local Gemini CLI, returning structured results with execution metadata.

Wraps Google's Gemini CLI to expose search, chat, and file analysis tools via the Model Context Protocol for AI assistants.

A MCP server wrapper for Google's Gemini CLI that enables AI assistants to perform searches, have conversations, list sessions, and analyze files using Gemini's capabilities.

Enables comprehensive codebase analysis using Google's Gemini AI through CLI integration. Provides architectural reviews and targeted code analysis with code2prompt integration for efficient context extraction.

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.

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.

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.

Exposes Gemini CLI's built-in tools and external MCP proxies through a unified MCP endpoint while providing an OpenAI-compatible API for Gemini models. It features configurable security modes to safely manage file system operations, web searches, and shell command execution.

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.

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

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.

MCP server for Google Gemini media generation, exposing tools for generating and editing images, video, music, and async operations via stdio.

CLI and stdio MCP server for noticed. Exposes ~50 noticed agent capabilities (network search across GitHub + LinkedIn, missions, PRM, memory, workspace, web search, cron, ...) via two meta-tools — search + execute — to any MCP-aware client (Claude Code, Claude Desktop, Cursor, ChatGPT).

A Model Context Protocol (MCP) server for integrating Google's Gemini 3 models with Claude Code, enabling powerful collaboration between both AI systems.

Enables evidence-grounded implementation research by searching GitHub, scoring candidate repositories, extracting source evidence, and generating planning artifacts like research and implementation checklists.

An MCP server that lets AI assistants use Google's Gemini models. Generate text, analyze images, review code, and more — with support for multi-turn conversations and web-grounded answers.

Enables AI assistants to perform real-time internet searches and get AI-powered analysis of current information through the gemini-cli tool.

Connects Claude.ai with Google's Gemini API to generate images and videos using your own API key.

A remote MCP connector deployed as a Cloudflare Worker that gives Claude access to Google Gemini models, enabling image generation/editing, model auditing, and large context digesting.