The Google Antigravity AI Directory is a free web-based platform directory that aggregates 125+ production-ready prompts and 430+ MCP servers for Google's Antigravity IDE and Gemini 3 agentic development.
What is Google Antigravity AI Directory?
The Google Antigravity AI Directory is a web resource that collects AI-assisted coding assets for Google's Antigravity IDE. It lists 125+ tested prompts for frameworks such as Next.js, React, Python, and TypeScript, plus 430+ MCP (Model Context Protocol) servers that connect the IDE to databases, APIs, and cloud services. The directory takes a developer's need for ready-made AI coding assets and returns curated, production-ready options optimized for Gemini 3. It is free to access and covers full-stack development.
Key Features
- 125+ Production-Ready Prompts — Tested prompts for frameworks and languages including Next.js, React, Python, and TypeScript, designed for real project use.
- 430+ MCP Servers — Pre-configured integrations for databases, APIs, and cloud services, ready to connect to Antigravity IDE.
- Gemini 3 Optimized — All content is specifically tailored to Google's agentic model, ensuring compatible and effective code generation.
- Agent Mode Ready — Prompts and servers work with autonomous multi-step tasks, enabling complex agentic workflows.
- Free Resources — Includes rules, workflows, and integrations at no cost.
- TypeScript Support — Prompts follow best practices and include TypeScript types, improving type safety in generated code.
- Full-Stack Coverage — Resources span frontend to backend development, from UI components to API integrations.
Who should use Google Antigravity AI Directory?
- Individual developers using Antigravity IDE can browse the prompt library to generate production-ready code for Next.js, React, Python, or TypeScript projects without hand-tuning outputs.
- AI agent developers can pull pre-configured MCP servers from the 430+ list to give Gemini 3 agents access to databases, APIs, and cloud services for autonomous multi-step tasks.
- Development teams adopting agentic workflows can standardize on these tested prompts and integration configs to ensure consistent code quality and best practices across projects.
- Full-stack engineers can use the directory to find ready-made solutions for both frontend and backend tasks, from UI components to API integrations.
What can you do with Google Antigravity AI Directory?
- Rapid prototyping: Select a Next.js prompt from the 125+ set and generate a full-stack scaffold in Antigravity IDE, then connect it to a database via a listed MCP server.
- Extending agent capabilities: Add one of the 430+ MCP servers to let Gemini 3 agents query APIs, manage cloud resources, or interact with internal tools during agent mode tasks.
- Standardizing code quality: Adopt the directory's TypeScript-typed prompts as a baseline, ensuring every AI-generated file follows best practices and includes proper error handling.
FAQ
Is the Google Antigravity AI Directory free?
The directory is free to access, and it specifically lists "Free Resources" that include rules, workflows, and integrations at no cost. There is no mention of paid tiers or subscription requirements on the page.
How many prompts and MCP servers are listed?
The directory currently lists over 125 production-ready prompts and over 430 MCP servers, covering frameworks like Next.js, React, Python, and TypeScript, as well as database, API, and cloud service integrations.
What is the difference between a prompt and an MCP server in this directory?
A prompt is a test-driven template that tells Gemini 3 how to generate a specific piece of code, such as a React component or a Python function. An MCP server is a configurable integration that connects Antigravity IDE to external services like databases or APIs, expanding what agents can do.
Does the directory only work with Gemini 3?
The directory is optimized for Gemini 3 and Antigravity IDE's agentic model. While prompts may be adaptable to other models, the listed MCP servers and agent mode features are specifically designed to work within Google's Antigravity environment.
