Google Gemini is Google's generative AI model and conversational assistant that combines text, code, images, audio, and video to deliver multimodal AI capabilities powered by Google's advanced large language models.
Provides unified access to multiple CLI AI agents (Codex, Gemini, Claude, and OpenCode) through a single MCP interface with real-time task monitoring, enabling specialized code analysis, UI design, implementation, and prototyping workflows.
Last updated
5
11
21
MIT
Why this server?
Allows Gemini agents to discover, evaluate, and install skills from the AI Skill Store marketplace via MCP tools for searching, inspecting schemas, and downloading packages.
Agent-first skill marketplace MCP server. AI agents discover, install, and share skills across 7 platforms via MCP protocol. 15 tools including skill search, download, upload, and agent discovery.
Last updated
2
18
1
MIT
Why this server?
Utilizes Gemini AI for intelligent component generation, design analysis, and optimization of Tailwind CSS code
Advanced Model Context Protocol server that integrates Gemini AI with Tailwind CSS, providing intelligent component generation, class optimization, and cross-platform design assistance across major development environments.
Last updated
10
11
MIT
Why this server?
Allows using Google Gemini models as the backend for the MCP server tools by setting the DEEPSEEK_BASE_URL to the Gemini API endpoint.
Enables using DeepSeek models as a small, cheap supervised worker from any MCP-compatible client, providing fast flash and deep reasoning tools for bounded tasks.
Last updated
2
50
MIT
Why this server?
Integrates with Google Gemini CLI to fetch Time Doctor time tracking reports.
A FastMCP server that enables AI assistants to extract structured information from unstructured text using Google's langextract library through a secure, optimized Model Context Protocol interface.
Last updated
4
30
MIT
Why this server?
Provides tools to analyze and summarize content from URLs using Google Gemini's URL Context capability, with optional grounding through Google Search for enhanced research capabilities.
The URL-Context-MCP MCP Server provides a tool to analyze and summarize the content of URLs using Google Gemini's URL Context capability via the Gemini API.
Now also supports optional grounding with Google Search alongside URL Context. The server is designed to follow prompt-only orchestration: con
Last updated
2
3
7
MIT
Why this server?
Provides AI media generation capabilities via Google Gemini API, including image generation/editing, video creation with Veo models, text-to-speech, and music generation with Lyria.
Unified MCP server for Gemini media generation --Nano Banana (images), Veo 3.1 (video), TTS, and Lyria 3 (music).
Single Go binary, 12 tools, supports Gemini API key and Vertex AI.
Persistent project context MCP server that syncs a single .faf file to all AI tool formats (Cursor, Windsurf, Cline, etc.), enabling eternal bi-sync and optimized context for AI assistants.