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

A secure MCP server that wraps the Google Gemini CLI, allowing clients to query Gemini models using local OAuth sessions without requiring an API key. It provides tools for model interaction and diagnostics with built-in protection against command injection.

MCP server for Google's Gemini CLI with OAuth, enabling use of Gemini through Claude Desktop/Code without API keys – just log in with a Google account.

Transforms static gemini-cli documentation into a queryable RAG service, enabling developers to ask questions about Gemini CLI in natural language and receive instant, accurate answers based on the official documentation directly within their workflow.

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.

Bridges Google's Gemini CLI with MCP-compatible clients and integrates OpenRouter API for access to 400+ AI models. Provides 33 specialized tools enabling multi-AI workflows, collaborations, and debates between Claude, Gemini, and other LLMs.

A base setup for creating MCP servers that integrate with Google's Gemini CLI, including example implementations for weather data retrieval from OpenWeatherMap and basic resource/tool definitions using FastMCP.

A lightweight MCP server that enables AI agents to perform deep codebase analysis by leveraging Gemini's massive context window for cross-file analysis and intelligent file selection.

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.

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.

A tool that allows Claude Code to use Gemini AI as an MCP server, leveraging Gemini's large context window for analyzing large files while saving Claude Code tokens.

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.

A lightweight MCP server that enables AI coding assistants to interact with Google's Gemini AI through the official CLI.

A universal MCP server that provides AI-powered code review and analysis for any programming language using Google's Gemini CLI.

A Model Context Protocol server that enables AI assistants to interact with Google Gemini CLI, allowing them to leverage Gemini's large token window for analyzing files and codebases using natural language commands.

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).

Bridges Google Gemini Web to OpenAI-compatible clients and MCP servers, enabling multi-account rotation and extended thinking for agentic workflows.

A CLI + bundled MCP server for managing Google Play Console metadata, screenshots, one-time products, and subscriptions from YAML files.

A lightweight MCP server that exposes Google Gemini as tools for Claude Code, enabling question answering, code analysis, multi-turn chat, and model listing.

An MCP server that wraps the Gemini CLI to provide tools for executing prompts, managing chat sessions, and accessing CLI extensions. It supports both local stdio and remote SSE transports for flexible integration with MCP clients.

CLI and MCP server for reading and writing Elementor page data on WordPress.