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gemini-antigravity-bridge

⚡ Bridge connecting Google Gemini Spark & Cloud AI to your local machine via MCP with autonomous file creation, terminal execution, and subagent orchestration.

Install / Use

claude mcp add nandhakumar-murugan -- npx -y github:nandhakumar-murugan/gemini-antigravity-bridge

If the server publishes to npm under a different name, use that package instead — check the repo README.

About this skill
🔌

MCP Server

Model Context Protocol server

Quality Score

76/100

Category

Automation

Supported Platforms

Claude Code
Claude Desktop
Gemini CLI

Our assessment of gemini-antigravity-bridge

gemini-antigravity-bridge scores 76/100 on our quality scale, 2575th of 2,870 Automation skills we index.

Its MCP Server is 13 KB long, well organised into 36 sections with 6 code examples: a thorough specification that gives an agent plenty to work with.

It has 10 GitHub stars, so there is little community track record yet; judge it on its content.

Substance
30/30
Structure
20/20
Description
15/15
Adoption
4/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 15 days ago, so gemini-antigravity-bridge is actively maintained.
  • It is released under the Apache-2.0 license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 97/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

gemini-antigravity-bridge compared with similar skills

All 4 of these similar skills score higher than gemini-antigravity-bridge; compare them before choosing.

SkillScoreStarsUpdatedFormat
gemini-antigravity-bridge (this skill)by nandhakumar-murugan761015d agoMCP Server
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Frequently asked questions

How do I install gemini-antigravity-bridge?
Run claude mcp add nandhakumar-murugan -- npx -y github:nandhakumar-murugan/gemini-antigravity-bridge. The install tabs above show the steps for each supported agent.
Which AI agents does gemini-antigravity-bridge work with?
It is written for Claude Code, Claude Desktop and Gemini CLI, as a MCP Server file. Other agents that read the same format can often use it too.
Is gemini-antigravity-bridge safe to use?
It is Apache-2.0-licensed and scores 97/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is gemini-antigravity-bridge still maintained?
The repository was last updated 15 days ago, so gemini-antigravity-bridge is actively maintained.
<div align="center">

⚡ Gemini Antigravity Bridge

The World's First Bidirectional MCP Bridge Between Google Gemini Spark & DeepMind Antigravity

PyPI DOI Glama Awesome MCP Servers Python MCP License Google AI Developers Forum Tests Security Google Gemini DeepMind Model Support Stars Discussions

Connect Google's cloud AI (Gemini Spark powered by Gemini 3.8 / 3.7) to your local agentic IDE (Antigravity) with 24 powerful MCP tools, hardened by OpenAgentShield Zero-Trust runtime sandboxing and automatic credential redaction.

Quick Start · Architecture · Tools · Connected Apps · Deploy

</div>

🌐 What Is This?

Gemini Antigravity Bridge is an MCP (Model Context Protocol) server that creates a persistent, bidirectional communication channel between:

  • ☁️ Google Gemini Spark (cloud-based AI assistant with Google Workspace access, powered by Gemini 3.8 / 3.7)
  • 💻 Google DeepMind Antigravity (local agentic IDE with full system access)

Optimized for Gemini 3.8's next-generation agentic reasoning, this enables a fully autonomous loop where Spark can dispatch coding tasks to your local machine, and Antigravity can request cloud intelligence back from Spark — all through a standardized, secure protocol.

┌──────────────────────────────────────────────────────────────────┐
│                    GEMINI SPARK (Google Cloud)                    │
│  📬 Gmail │ 📁 Drive │ 📅 Calendar │ 🎨 Canva │ 🎥 YouTube     │
└─────────────────────────┬────────────────────────────────────────┘
                          │ MCP over HTTPS
                          ▼
┌──────────────────────────────────────────────────────────────────┐
│              ⚡ GEMINI ANTIGRAVITY BRIDGE (MCP Server)            │
│                                                                  │
│  🔧 System Commands    📂 File Operations    🤖 Agent Dispatch   │
│  🧠 Shared Memory      🔄 Project Sync       📊 Status Reports  │
│                                                                  │
│  Tunnel: ngrok / Cloudflare (permanent HTTPS domain)             │
└─────────────────────────┬────────────────────────────────────────┘
                          │ Local MCP + Message Injection
                          ▼
┌──────────────────────────────────────────────────────────────────┐
│             ANTIGRAVITY IDE (Local Machine)                       │
│  🖥️ Terminal │ 📝 Code Editor │ 🌳 Git │ 🧪 Tests │ 🚀 Deploy  │
└──────────────────────────────────────────────────────────────────┘

🏆 Why This Bridge?

| Feature | This Project | Other MCP Servers | |---|:---:|:---:| | Bidirectional Cloud ↔ Local | ✅ | ❌ | | Autonomous Agent Task Dispatch | ✅ | ❌ | | Cross-Agent Shared Memory | ✅ | ❌ | | Antigravity Conversation Injection | ✅ | ❌ | | Spark Connected Apps Orchestration | ✅ | ❌ | | Google Workspace Integration | ✅ (via Spark) | Partial | | Local File System Access | ✅ | Some | | System Command Execution | ✅ | Some |


🚀 Quick Start

Prerequisites

  • Python 3.10+
  • ngrok account (free tier) with a reserved domain
  • Google Gemini Spark (Advanced/Ultra subscription)
  • Google DeepMind Antigravity IDE

Installation

# Clone the repository
git clone https://github.com/nandhakumar-murugan/gemini-antigravity-bridge.git
cd gemini-antigravity-bridge

# Install dependencies or install package directly
pip install -r requirements.txt
# OR install as a CLI tool:
pip install -e .

# Configure environment
cp .env.example .env
# Edit .env with your NGROK_AUTHTOKEN and NGROK_DOMAIN

# Launch the bridge (via script or CLI)
gemini-bridge
# or: python run_with_tunnel.py

Connect to Gemini Spark

  1. Open Gemini Spark → Settings → Connected Apps
  2. Click "Add a custom app"
  3. Enter your public MCP URL: https://your-domain.ngrok-free.dev/mcp
  4. Spark will discover all 23 tools automatically!

🛠️ Available Tools (24)

🔧 System Execution

| Tool | Description | |---|---| | run_system_command | Execute shell/PowerShell command with AST risk analysis and captured output | | run_batch_commands | Run multiple commands sequentially with error handling and policy validation |

📂 File Operations

| Tool | Description | |---|---| | read_file | Read file contents with sensitive credential protection | | write_file | Create or overwrite files with automatic secret redaction | | edit_file | Surgically edit specific lines in existing files | | append_file | Append content to the end of a file | | batch_write_files | Create multiple files in a single operation with policy enforcement | | create_full_project | Scaffold an entire project directory structure | | list_directory | List directory contents with metadata |

🤖 Agent Orchestration

| Tool | Description | |---|---| | run_agent_task | Launch an autonomous Antigravity coding subagent | | get_agent_status | Check status and output of a running agent task | | terminate_task | Kill a running agent task |

🛡️ Zero-Trust Security & Telemetry (OpenAgentShield)

| Tool | Description | |---|---| | get_security_audit_log | Retrieves OpenAgentShield Zero-Trust audit events, blocked attacks, and system risk scores (DOI: 10.5281/zenodo.22259022) |

🧠 Shared Memory & Sync

| Tool | Description | |---|---| | get_bridge_history | Retrieve full cross-client operation history with redacted credentials | | save_session_note | Write a structured note to shared memory (tagged) | | get_session_notes | Read session notes by tag or date range | | sync_project_to_gemini | Sync project metadata to Spark's knowledge base | | git_quick_status | Quick Git status check for any repository |

🌐 Spark Connected Apps

| Tool | Description | |---|---| | request_spark_connected_app_action | Dispatch tasks to Spark's connected apps (@Canva, @YouTube, @Gmail, etc.) | | get_spark_connected_apps_catalog | List all available connected apps and capabilities |

🔗 Antigravity Deep Integration

| Tool | Description | |---|---| | list_antigravity_conversations | List all active Antigravity IDE conversations | | inject_message | Inject a structured message directly into an Antigravity conversation | | send_spark_to_antigravity_task | Dispatch a full task brief from Spark to Antigravity | | get_antigravity_agent_report | Get the latest execution report for Spark to review |


🔄 Spark Connected Apps

Through the bridge, Antigravity can orchestrate Spark's connected Google & third-party apps:

| App | Capabilities | |---|---| | 🎨 @Canva | Poster design, infographics, slide decks | | 📁 @Google Drive | Cloud file search, folder management | | 📝 @Google Docs | Document creation and collaboration | | 📌 @Google Keep | Quick notes, flashcards, checklists | | 🎥 @YouTube | Video search, transcript extraction | | 📬 @Gmail | Email reading, URL extraction | | 📓 @Gemini Notebook | Deep research and synthesis | | 📦 @Dropbox | Cloud storage sync via MCP |


🏗️ Architecture

graph TB
    subgraph Cloud["☁️ Google Cloud"]
        Spark["Gemini Spark<br/>Consumer AI Assistant"]
        Gmail["📬 Gmail"]
        Drive["📁 Google Drive"]
        Calendar["📅 Google Calendar"]
        Canva["🎨 Canva"]
    end

    subgraph Bridge["⚡ Antigravity Bridge"]
        MCP["MCP Server<br/>(FastMCP + Starlette)"]
        Tunnel["HTTPS Tunnel<br/>(ngrok / Cloudflare)"]
        Memory["🧠 Shared Memory<br/>(bridge_history.json)"]
        Dashboard["📊 Web Dashboard"]
    end

    subgraph Local["💻 Local Machine"]
        AGY["Antigravity IDE"]
        Terminal["🖥️ Terminal"]
        Git["🌳 Git Repos"]
        Files["📂 File System"]
    end

    Spark -->|"MCP over HTTPS"| Tunnel
    Tunnel --> MCP
    MCP -->|"inject_message"| AGY
    MCP -->|"run_system_command"| Terminal
    MCP -->|"git_quick_status"| Git
    MCP -->|"read/write_file"| Files
    MCP --> Memory
    AGY -->|"save_session_note"| Memory
    Memory -->|"get_agent_report"| Spark
    Spark --> Gmail
    Spark --> Drive
    Spark --> Calendar
    Spark --> Canva

🚢 Deployment

Auto-Start on Windows Boot

The bridge includes a silent startup script that launches automatically when you log in:

📁 %APPDATA%\Microsoft\Windows\Start Menu\Programs\Startup\
└── GeminiAntigravityBridge.vbs  (silent background launcher)

Cloud Deployment (24/7 Uptime)

# Using Docker
docker build -t gemini-antigravity-bridge .
docker run -d -p 8000:8000 --env-file .env gemini-antigravity-bridge

# Using Render.com / Google Cloud Run
# Push to GitHub → Connect repo → Deploy automatically

📋 Scheduled Monitoring

The bridge supports multi-tier automated monitoring via Gemini Spark schedules:

| Tier | Cadence | Purpose | |---|---|---| | 🔴 Instant Trigger | Real-time (on email arrival) | Zero-delay alerts for college & NPTEL emails | | 🟡 Hourly Sweep | Every 60 minutes | Broad monitoring across all platforms | | 🟢 Morning Briefing | Daily @ 8:00 AM | Strategic daily plan with exam schedules |


🤝 Contributing

Contributions are welcome! Please read the Apache 2.0 License before submitting PRs.

  1. Fork the repository
  2. Create your feature branch (git checkout -b feat/amazing-feature)
  3. Commit your changes (git commit -m 'feat: add amazing feature')
  4. Push to the branch (git push origin feat/amazing-feature)
  5. Open a Pull Request

📄 License

This project is licensed under the Apache License 2.0 — see the LICENSE file for details.


📚 Research Paper & Academic Citation

This framework implements the formal architecture introduced in the published research paper:

**AgentShield: A Zero-Trust Runtime Guardrail Architecture for Autonomous

Truncated for display — read the full file on GitHub.

Related Skills

View on GitHub
GitHub Stars10
CategoryAutomation
Updated15d ago
Forks1

Languages

Python

Trust signals

97/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

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