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.
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 users to search and fetch Google's Gemini API documentation directly within an MCP-compliant environment. It provides structured access to guides and references for features like function calling, embeddings, and text generation.
An MCP server that enables AI models to perform Google Web searches using the Gemini API, complete with citations and grounding metadata for accurate information retrieval. It is compatible with Claude Desktop and other MCP clients for real-time web access.
gemini-image-mcp
Enables image generation and editing using Google Gemini AI with support for multiple aspect ratios, context images, custom styles, and watermark overlays. Optimized for creating social media content with automatic file saving and flexible output configuration.
MCP server for Google Gemini 2.0 Flash image generation
Enables image generation using Google's Gemini 2 API with customizable parameters like aspect ratio, number of samples, and person generation settings.
Enables Claude Desktop users to generate and edit high-quality images using Google's Gemini AI. Supports text-to-image generation, image transformations with text prompts, and automatic local saving with multilingual support.
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 image generation and prompt enhancement within Claude.ai by leveraging Google Gemini models. It allows users to create visual content in various styles like photorealistic and 3D render directly through natural language.
Generate high-quality images from text descriptions using Google's Imagen 4.0 models with multiple quality variants, flexible aspect ratios, and local file storage.
A bridge that connects the Model Context Protocol to the Gemini CLI via the Agent Client Protocol (ACP) for high-performance, stateful AI interactions. It enables MCP clients to leverage Gemini's autonomous capabilities, including multi-modal support and built-in tool execution, without cold-start overhead.
A Model Context Protocol server that enables Claude to collaborate with Google's Gemini AI models, providing tools for question answering, code review, brainstorming, test generation, and explanations.
A Model Context Protocol server that gives Claude access to Google's Gemini 2.5 Pro for extended thinking, code analysis, and problem-solving with a massive context window.
Integrates Google's Gemini AI with Claude Code to provide advanced development assistance including code analysis, implementation planning, technical explanations, debugging support, and strategic development guidance.
Enables Claude Code to use Google Gemini AI capabilities for analyzing PDFs and images, generating and translating text, and reviewing code. Supports both CLI and API backends with different quota limits.
Enables integration with Gemini AI through Claude Code, providing tools to execute queries to Gemini including basic requests and unsafe operations with auto-confirmation.
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.
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.
