"Information about Gemini" matching MCP servers:

A Model Context Protocol server that enables Claude to interact with Google's Gemini AI models, allowing users to ask Gemini questions directly from Claude.

A Python-based MCP server that enables integration of Gemini AI models with MCP-compatible applications like Cursor/Claude, allowing for interaction with Gemini APIs through the Model Context Protocol.

An improved implementation of persistent memory using a local knowledge graph with a customizable --memory-path. This lets Claude remember information about the user across chats.

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 interaction with Google's Gemini AI models including file uploads, conversation management, and batch API processing for large-scale tasks at reduced costs. Supports multiple Gemini models with advanced features like embeddings generation and automated workflow processing.

An MCP server that lets Claude Code consult stronger AI models (o3, Gemini 2.5 Pro, DeepSeek Reasoner) when you need deeper analysis on complex problems.

An MCP server implementation that leverages Google's Gemini API to provide analytical problem-solving capabilities through sequential thinking steps without code generation.

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.

Allows AI assistants to generate and transform high-quality images from text prompts using Google's Gemini model via the MCP protocol.

Multi-agent AI consultation framework for Claude Code via MCP — get second opinions from OpenAI, Gemini, Qwen, DeepSeek

A TypeScript server that integrates Google's Gemini Pro model with Claude Desktop through the Model Context Protocol, allowing Claude users to access Gemini's text generation capabilities.

A TypeScript MCP server that enables agents to request focused, one-shot consultations with allowlisted Gemini models, with guaranteed model provenance and no silent model changes.

A dedicated server that wraps Google's Gemini AI models in a Model Context Protocol (MCP) interface, allowing other LLMs and MCP-compatible systems to access Gemini's capabilities like content generation, function calling, chat, and file handling through standardized tools.

Enables Codex to delegate routine tasks to Gemini through Google subscription access via Antigravity CLI and have TypeSafe Jev validate results against specified criteria, with batch evaluations and local status checks.

Enables image generation and multi-turn editing sessions using the Gemini API within MCP-compatible environments. Users can create, modify, and configure images through natural language commands, supporting features like aspect ratio adjustments and session-based image transformations.

Enables Claude to collaborate with Gemini for code reviews, second opinions, and iterative software development. It facilitates multi-step workflows including PRD creation and code generation through an AI orchestration framework.

A server that enables Claude Desktop to generate images using Google's Gemini AI models through the Model Context Protocol (MCP).

Enables account-less access to all 45 Google Gemini models and autonomous agents for text generation, multi-step reasoning, deep research, image/video/audio generation, grounded search, and embeddings via L402, x402, and MPP.

Enables Claude to use Google Gemini as a secondary AI through MCP for large-scale codebase analysis and complex reasoning tasks. Supports both Gemini Flash and Pro models with specialized functions for general queries and comprehensive code analysis.

Enables Claude Desktop to generate text and analyze images using Google's Gemini Pro API. Provides seamless integration between Claude and Gemini's AI capabilities through natural language commands.

Pairs Claude Code with Google's Gemini AI for complementary code analysis, enabling intelligent routing where Claude handles local-context operations while Gemini leverages its 1M token context for distributed system debugging and long-trace analysis.

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.

Token-optimized MCP server that integrates Google Gemini CLI for AI-powered coding assistance with 43.8% token savings through progressive disclosure, supporting multi-turn conversations and multiple Gemini models.

Enhances Gemini CLI with SuperClaude Framework v4.0.9, providing 22 specialized commands, 14 domain-expert agents, and integration with 6 MCP servers for development, analysis, and automation.

Enables AI agents to generate, edit, and analyze images using Google's Gemini image generation models including Nano Banana Pro (gemini-3-pro-image-preview).

A multi-agent MCP server that enables AI coding agents (Claude Code, Codex CLI, Gemini CLI) to communicate with each other.

Enables AI agents to control SO-ARM100 and LeKiwi robots using natural language instructions and integrated camera vision. It supports multiple communication transports and includes a CLI agent compatible with Claude, Gemini, and GPT models.

Enables advanced reasoning and reflection using the Gemini API and OpenRouter models, integrating sequential thinking and critique capabilities.

Remote-first, model-independent Windows execution MCP for ChatGPT, Claude, Gemini, and other MCP-compatible AI clients.

Universal AI gateway that enables interaction with Ethereum blockchain through natural language across multiple AI platforms (Claude, ChatGPT, Gemini, etc.). Supports contract deployment, token operations, NFT minting, DeFi operations, and general blockchain transactions.