Most AI coding IDEs help you write code. Google Antigravity lets you wire up external tools through MCP and execute live data pipelines from your editor. That means your IDE isn't just writing scripts -- it's running lead generation workflows autonomously.

In this guide, you'll learn how to connect the Apify MCP server to Antigravity IDE and use it for data enrichment: finding local businesses, LinkedIn profiles, emails, and phone numbers from a single prompt.

What you'll build:

1. Connect the Apify MCP server to Google Antigravity
2. Configure scrapers for Google Maps leads and contact detail extraction
3. Run enrichment queries directly from the IDE
4. Scale validated workflows with cron jobs

What is Google Antigravity?

Google Antigravity is an AI-powered IDE developed by Google, announced in November 2025 alongside the Gemini 3 model launch. It's built on a fork of VS Code (with DNA from the $2.4B Windsurf acquisition) but redesigned from the ground up as an agent-first platform.

What makes it different from Cursor, Copilot, or traditional IDEs:

• Agent-first architecture -- AI agents don't just suggest code, they plan entire features, execute across editor, terminal, and browser, and verify their own work
• Manager View -- a control center for orchestrating multiple agents working in parallel across workspaces. No other IDE has this.
• Browser subagents -- built-in Chrome automation that agents can control directly for testing and verification
• Artifacts -- agents produce verifiable deliverables (task lists, implementation plans, screenshots, browser recordings) instead of raw tool calls
• Multi-model -- supports Gemini 3 Pro, Claude Sonnet 4.6, and GPT-OSS out of the box
• MCP support -- native Model Context Protocol integration, which is what makes this guide possible
• Free -- 100% free during public preview with generous rate limits on Gemini 3 Pro

Antigravity scored 76.2% on SWE-bench Verified and 54.2% on Terminal-Bench 2.0, making it the strongest agent for multi-step tool-chaining workflows. Sergey Brin reportedly went into "Founder Mode" for the launch, working late nights with engineers to push Google from "Search" to "Action."

For this guide, the key feature is MCP support. You can connect external tools and invoke them through natural language prompts in the editor. Type "find marketing leads in Berlin" and Antigravity calls Apify Actors to scrape Google Maps, extract contact details, and return structured data without leaving your code editor.

Setting up the Apify MCP Server