gemini-mcp and mcp-gemini-server
These two tools are ecosystem siblings because `bsmi021/mcp-gemini-server` provides the core server that exposes Gemini capabilities as MCP tools, while `houtini-ai/gemini-mcp` is an application built upon the MCP framework, leveraging Gemini's capabilities through such servers for AI assistant functionalities.
About gemini-mcp
houtini-ai/gemini-mcp
Google Gemini MCP - Use Google's visual, video and chat capabilities in your AI Assistant. Uses MCP Apps to preview created images, landing pages, SVGs and video
Implements 13 Gemini tools (chat with grounded search, deep research, image/video/SVG generation, image editing) via MCP stdio transport for seamless Claude Desktop integration. Grounded search is enabled by default; video generation uses Veo 3.1 with configurable resolution and audio synthesis; SVG output is production-ready vector code with style variants. Requires only a Gemini API key and `npx` one-liner for setup, or local build via npm for development environments.
About mcp-gemini-server
bsmi021/mcp-gemini-server
This project provides a dedicated MCP (Model Context Protocol) server that wraps the @google/genai SDK. It exposes Google's Gemini model capabilities as standard MCP tools, allowing other LLMs (like Cline) or MCP-compatible systems to leverage Gemini's features as a backend workhorse.
This server helps other AI systems and large language models (LLMs) like Claude use Google's Gemini for complex tasks. It takes publicly available web content like image URLs, YouTube videos, or web pages and processes them using Gemini's advanced analysis and generation features. This is ideal for AI developers or system integrators who want to add Gemini's capabilities to their existing AI applications through a standardized interface.
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