[Google Antigravity] Mastering Official MCPs: Beyond Coding to Agent Collaboration


1. Overview: From “Tool” to “Teammate”

Imagine an IDE where your AI isn’t just a chatbot that generates text, but a digital coworker with access to your files, database, and deployment pipeline.

Google Antigravity is built as an “Agent-first” environment. The key technology unlocking this potential is the Model Context Protocol (MCP).

Think of MCP as giving “arms and legs” to your AI agents. By connecting MCP servers, your agents evolve from simple code generators into active collaborators that can submit Pull Requests to GitHub, query your database, and even launch a browser to test UI.

In this guide, we will explore the official MCPs supported by Antigravity and how to use them to transform your workflow.


2. How to Install MCPs in Antigravity

Antigravity makes this process incredibly simple via its GUI-based Agent Manager. You don’t need complex terminal commands.

  1. Open Agent Manager: Click the Open Agent Manager button located at the bottom left or on the main dashboard of the IDE.
  2. Access the MCP Store: Click the ... (More) menu in the agent settings and select [MCP Store].
  3. Connect & Authenticate: Find the tool you need (e.g., GitHub, Google Drive) and click Connect. You will be prompted to enter your API Key.
  4. Verification: Once connected, type a command in the chat like “Check my GitHub connection” to ensure the agent recognizes the new tool.

3. Detailed Guide to Official MCPs

Here is a breakdown of the official and verified MCPs available in the Antigravity ecosystem, categorized by their role in your development team.

A. Google Ecosystem & Documentation (The Planner)

Leverage Google’s robust ecosystem to keep your agents informed and data-driven.

  • Google Drive MCP
    • Function: Allows the agent to read and analyze files (PDFs, Docs, Sheets) directly from your Drive.
    • Use Case: Instead of copy-pasting text, tell the agent: “Read ‘Project_Specs_v2.pdf’ from my Drive and summarize the changes.” Perfect for PM/Planning agents.
  • Google Analytics MCP
    • Function: Fetches traffic data, user behavior logs, and bounce rates.
    • Use Case: “Check the bounce rate for the landing page we deployed yesterday.” Great for data-driven development.

B. DevOps & Collaboration (The Engineer)

Essential tools for managing the project lifecycle.

  • GitHub MCP (Essential)
    • Function: Search repositories, manage issues, create/review Pull Requests, and commit files.
    • Use Case: “I fixed the bug. Create a new branch named ‘fix/login-error’ and submit a PR.” This allows the agent to handle version control autonomously.
  • Sentry MCP
    • Function: Real-time error monitoring and stack trace analysis.
    • Use Case: “Analyze the 500 error that just occurred and suggest a fix based on the logs.”
  • PostgreSQL / MySQL MCP
    • Function: Inspect database schemas (Read-only recommended) and test queries.
    • Use Case: “Check if the ‘User’ table schema matches our ORM definition.”

C. Testing & Productivity (The QA & Manager)

Tools that allow agents to verify their own work.

  • Puppeteer / Playwright MCP
    • Function: Controls a headless browser to visit websites, click buttons, and take screenshots.
    • Use Case: “Go to the login page, try to log in, and take a screenshot of the UI.” This is a game-changer for visual verification.
  • Slack MCP
    • Function: Sends messages and alerts to specific team channels.
    • Use Case: “Notify the #dev-team channel when the build is finished.”

D. Agent Reasoning (The Brain)

  • Sequential Thinking MCP
    • Function: Forces the agent to solve complex problems step-by-step rather than rushing to a solution.
    • Use Case: drastically reduces hallucinations and logic errors during complex architectural design.

4. Top 5 Recommended MCPs for “Vibe Coding”

If you are just starting with Antigravity, these 5 MCPs are the “Must-Have” starter pack.

  1. GitHub MCP: Code must eventually live in a repo. This is non-negotiable for collaboration.
  2. Filesystem MCP: (Usually built-in) Required for the agent to edit your local project files.
  3. Google Drive MCP: Stop pasting requirements. Let the agent read the original documents.
  4. Puppeteer MCP: The ability for an agent to “see” what it coded via screenshots makes debugging infinitely faster.
  5. Sequential Thinking MCP: Upgrades your agent from a junior coder to a thoughtful senior engineer.

5. References & Resources

To dive deeper into setting this up, check out these resources:


Transform your IDE into an intelligent workspace. Don’t just ask your agent to write code—ask it to manage the project.

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