antigravity-mcp-bridge
MCP server for Antigravity IDE that registers local tools and provides an OpenAI-compatible API bridge with real-time database context.
README
Antigravity MCP Server & OpenAI-Compatible API Bridge
This project provides a Dual-Mode Integration solution for Google Antigravity:
- OpenAI-Compatible REST API Bridge (
server.js): A local HTTP REST API server (http://localhost:8088/v1) that enables WhatsApp bots, Node.js scripts, Python clients, or any external application using theopenaiSDK (const { OpenAI } = require('openai')) to communicate with Antigravity models and automatically integrate with real-time Widyartha database context. - MCP Stdio Server (
index.js): A local Model Context Protocol (Stdio) server for registering local tools directly inside the Antigravity IDE UI without requiring external API keys.
🛠️ Key Features
- OpenAI SDK Integration: Seamlessly use standard
openailibraries by redirectingbaseURLtohttp://localhost:8088/v1. - Real-Time MCP Data Integration: The HTTP server automatically enriches AI completion prompts with product catalog stock, order status, and invoice information from the local Widyartha SQLite database.
- Comprehensive Model Selection: Supports model presets matching the Antigravity IDE UI dropdown:
gemini-3.6-flash-high,gemini-3.6-flash-medium,gemini-3.6-flash-lowgemini-3.5-flash-high,gemini-3.5-flash-medium,gemini-3.5-flash-lowgemini-3.1-pro-high,gemini-3.1-pro-lowclaude-sonnet-4.6,claude-opus-4.6gpt-oss-120b,antigravity
- Auto-Setup & Portable: Automatically generates local security tokens, auto-installs missing dependencies, and uses relative paths for full portability across drives/folders.
🚀 Running the API Server
1. Start the HTTP Server (Port 8088)
Run the following command in your terminal:
npm start
Or double-click start-server.bat (Windows) / start-server.sh (Linux/macOS).
The server will listen at:
- Base URL:
http://localhost:8088/v1 - Chat Completion:
POST http://localhost:8088/v1/chat/completions - List Models:
GET http://localhost:8088/v1/models
💻 Client Usage Examples (Node.js & Python)
Node.js Example:
const { OpenAI } = require('openai');
const openai = new OpenAI({
apiKey: 'sk-random-key',
baseURL: 'http://localhost:8088/v1'
});
async function main() {
const response = await openai.chat.completions.create({
model: 'antigravity',
messages: [
{ role: 'user', content: 'Check batik shirt stock' }
]
});
console.log(response.choices[0].message.content);
}
main();
Python Example:
from openai import OpenAI
client = OpenAI(
api_key="sk-random-key",
base_url="http://localhost:8088/v1"
)
response = client.chat.completions.create(
model="antigravity",
messages=[
{"role": "user", "content": "Check batik shirt stock"}
]
)
print(response.choices[0].message.content)
📋 Installing MCP Server in Antigravity IDE UI
To register the MCP Server directly in the Antigravity IDE UI:
- Open the Customizations panel in Antigravity IDE.
- Click the
Open MCP Configbutton. - Paste the following JSON configuration:
{
"mcpServers": {
"antigravity-mcp": {
"command": "node",
"args": [
"E:/code/ai-bot-cs/MCP/antigravity/index.js"
],
"cwd": "E:/code/ai-bot-cs/MCP/antigravity"
}
}
}
- Save the file and click
Refresh 🔄.
🧪 Testing (Test Scripts)
All test scripts are located inside the test/ directory:
-
Run Node.js OpenAI SDK Test:
npm test(Executes
node test/client-example.js) -
Run Python OpenAI Client Test:
npm run test:python # Or: python test/test_openai_client.py -
Run MCP Stdio Protocol Test:
npm run test:mcp # Or: python test/check_mcp.py
📁 Directory Structure
E:\code\ai-bot-cs\MCP\antigravity\
├── server.js # OpenAI Bridge HTTP REST API Server (Port 8088)
├── index.js # MCP Stdio Server for Antigravity IDE UI
├── mcp-config.json # Antigravity MCP Configuration Template
├── start-server.bat # Portable Windows Launcher (Auto npm install)
├── start-server.sh # Portable Linux/macOS Launcher
├── .env & .env.example # Environment Variables
├── .gitignore # Git Ignore Rules
├── package.json # Package Manifest & Scripts
├── README.md # English Documentation
└── test/ # Test Scripts Directory
├── client-example.js # Node.js OpenAI Client Test
├── test_openai_client.py # Python OpenAI Client Test
└── check_mcp.py # MCP Stdio Protocol Test
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