The One MCP That Turns Antigravity Into a 500-Tool Powerhouse

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Google recently released Gemini 3, Nano Banana Pro, and its agentic IDE Antigravity, and it's exploding in popularity. AI, Builders & Business community are hyping it up like crazy.

But when it comes to tools, the options are limited. Though one can add MCPs for use cases, it's cumbersome to manually connect every application's MCP servers.

So, what if you configure an MCP once, and it connects to 500+ products at once while intelligently determining which MCP tools and methods are needed?

Enter Composio, a universal MCP provider. In this short blog, let's see how you can use it to supercharge your AI-assisted development.

TL DR;

Composio MCP plugs into Antigravity once and instantly unlocks hundreds of tools without the annoying manual MCP wiring.
You can automate code reviews and send off clean summaries straight to Gmail / Slack using Composio's mail tools.
Backend setup becomes trivial when Composio creates and seeds Supabase databases with text instructions and LLM commands.
Frontend devs can turn Figma wireframes into clean HTML/CSS by letting Composio fetch designs and Antigravity generate UI code.
Antigravity + Composio turns repetitive dev work into background noise so you can actually focus on building.

Connect Antigravity with Composio MCP

Before doing anything else, one needs to connect it once. Process is straightforward:

Go to the Composio MCP Dashboard site.
Signup / Login
Head to Install → MCP URL → Generate Token
Copy the code to put in place of COMPOSIO API KEY in mcp.json.
Head back to Antigravity, click on … dot in prompt editor → MCP -> Manage MCP Server → View raw config.
Paste the JSON in mcp.json
Perform OAuth, wait till it completes,
and boom, Composio is added to the MCP list.

For verification, head to Manage MCP Servers, refresh the page, and check the tool. It will look something like this:

Note: if you are new to MCP, don't change anything. If new to Composio, for first time it ask for OAuth for each tool.

Now, let's look at a few Composio use cases in Antigravity.

1. Using Composio MCP to automate Code Review & Update

Senior developer often analyse intern codebases, pointing out errors, summarising them and sending them to their Slack/email.

This can be a time-consuming, mundane & repetitive task. So, they can delegate it to Antigravity + Composio combo.

So here is a prompt to paste in the agent window prompt box (much like VS Code)

Prompt

Find the bugs in @agent.py @requirements.txt @__init__.py . 
Categorise them in low , medium high priority and create a short summary analysis with proper formatting. 
Then using @mcp:composio_mcp: Send the summary to [email protected] with title "Code Analysis Summary".

In simple words, the prompt asks the LLM to review the codebase, identify bugs, generate a summary, and send it as an email to the user. The output should include a summary and a mail link. And all this should be done using composio’s Gmail tool.

Yup, we don't have Gmail support in Antigravity, but composio mcp helps here!

Now click > And wait till it's complete. If this is 1st time, composio mcp will ask you to connect your Gmail account to send mail, but that's just OAuth for you.

Finally, it will come back with the draft/task it performed and an email link. Pretty transparent 😅

Here I am performing the same:

Note: You can even ask it to send to team slack, but I went with gmail, as this is just a demo.

Hopefully, now the intern will find the email and fix it all and send a pull request again :)

3. Using Composio MCP to handle Supabase Database for Apps

Backend developers often need to create different database models for different projects. This can be time-consuming, mundane and repetitive.

They can leverage Composio MCP to connect to Supabase, build the database in one shot, and use APIs to pull real-time information. Best part - no manual handling of pesky database issues, all handled by composio!

Here is a prompt to do so:

Build a minimal Student Grade CRUD application using Flask, Jinja, HTML, and CSS. The aesthetic should be "Google Material Minimal"—clean white backgrounds, subtle shadows, rounded corners, and excellent typography.

Phase 1: Database Setup (via composio_mcp)
Use the `composio_mcp` tool to interact with Supabase.
1. Create a table named `students` in the database `student-data`.
2. The schema should include: `id` (serial/int, primary key), `name` (text), `subject` (text), `grade` (int), and `last_updated` (timestamp).
3. Immediately seed this table with 5-10 realistic mock entries (e.g., "Alice Smith", "Mathematics", 92).

Phase 2: Flask Application
Create a single-file Flask app (or standard folder structure if preferred) that connects to this Supabase instance.
1. API/Routes:
   - GET `/`: Render the dashboard showing all students.
   - POST `/add`: Add a new student.
   - POST `/update/<id>`: Update a student's grade.
   - POST `/delete/<id>`: Remove a student.
2. UI/UX:
   - Use Jinja2 for templating.
   - Style using vanilla CSS (no external frameworks like Bootstrap).
   - Design: Center-aligned card layout. The table should look like a Google Docs file list or Google Classroom roster. Use soft gray borders (#e0e0e0) and the system font stack (Inter/Roboto/San Francisco).
   - Add a "Add Student" floating action button (FAB) or a clean top bar button.

Ensure the code is production-ready, handles database connections securely, and renders the frontend cleanly.

In summary: prompt the LLM to create a Google minimal style UI-UX-based CRUD app (for demo purposes) and pull in mock data defined in Supabase’s student-db using crud api’s. Here, the database was created using composio_mcp.
Yup, we don't have Supabase support in Antigravity, but composio helps here!.

Here is how it worked for me!

NOTE: For demo purposes, I have used a CRUD app example, but same flow can be expanded to complex project as well

Pro Tip

Always provide enough context for the LLM to perform the job as expected. For this example, this translates to adding:

db name - student-db
column name - id, name, subject, grade, last_updated
mock data - in tuple pairs.

With this power in hand, backend devs can create a robust and scalable database by just giving the right instructions!

Now off to the final use case of today!

3. Using Composio MCP to generate Frontend Code from Figma Mockups

Frontend developers often have to convert the Figma designs shared into webpages. They can leverage Composio MCP to connect to Figma, fetch the designs, and generate the frontend code for them - best fact: no need to handle the conversion details; all done by Composio.

Here is a prompt to do so!

Mockup (used for demo purposes only)

Prompt

Here is the figma file url <https://www.figma.com/design/CHX6G247vkQFDYh84Qv9CS/Low-fi-Wireframe-Template--Community-?node-id=123-0&p=f&t=6OH8UhfkjgLRPLpE-0>.

Implement a blog based ui based on the given wireframe. Keep ui minimal and clean, similar to google (materialistic design).

Only Tech stack to be used: HTML, CSS. Create the project in new folder called blogspace. I only need Mocup UI for client.

Make sure to fetch the file using composio_mcp and then only start designing

In a nutshell, the prompt provides the LLM with a Figma URL and asks it to replicate the wireframe into an HTML blog page with CSS, all in the same folder.

Again, we don't have Figma support in Antigravity, but Composio helps here!

This is how it turned out:

Pro Tip

For generating a complex frontend, follow these guidelines for optimized results:

Name the layers; include additional details, such as row and column numbers, in the layer names themselves. E.g memo-card-grid-row0-col0 (the leftmost corner).
Name the color styles. E.g. ❌ #FFFFFF, ✔️ background-color-white
Name the file properly. Please don't keep it generic.

These guidelines provide the model with enough context to generate the complex frontend architecture that developers are expected to deliver.

These were some use cases; the list is endless. But here is the final verdict!

In case of any errors, check out: Antigravity Coding Session

Conclusion

With Antigravity and Composio, the repetitive task became child's play, and the best part is that the same workflow applies across various domains.

Though Antigravity is new, it packs some serious punch, and with Composio MCP as a partner, the only limit is your imagination.

So, head to Composio MCP, connect it to Antigravity, pull up some PRD doc, give it to Gemini 3 / Nano Banana Pro with a kickass prompt, and let the tool do its thing while you focus on ideating and planning the part.

Happy Building.

FAQ

Q1. How do I integrate Composio MCP into Antigravity?

Answer: Generate a token from the Composio dashboard at dashboard.composio.dev and paste the provided command directly into your Antigravity's mcp.json raw config.

Q2. How do I verify that Composio is successfully connected to Antigravity?

Answer: Head to "Manage MCP Servers" in the editor, refresh the page, and confirm that the Composio tool appears in your active list.

Q3. Do I need to configure credentials for all 500+ tools manually?

Answer: No. You configure Composio once, and it dynamically handles connections, requiring only a one-time OAuth login when you first use a specific tool.

Q4. Can Composio handle tasks for platforms not natively supported by Antigravity?

Answer: Absolutely; Composio acts as a bridge to fetch data and perform actions on external platforms such as Figma, Supabase, and Gmail that the native IDE doesn't yet support.

Q5. How can I optimize the code generation quality for complex tasks like Figma conversions?

Answer: Ensure you provide rich context, such as clearly naming Figma layers and color styles, so the model understands the specific structural requirements.