Jev MCP Server
Integrates TypeSafe AI's Jev System 1 decision model into the Google Antigravity (agy) agent platform, providing fast tools for categorical choice, priority scoring, binary assertions, and pre-execution command/file safety guardrails for agent workflows.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Jev MCP Serveris it safe to run rm -rf /tmp/build?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Antigravity TypeSafe Jev: Ultra-Low Latency System 1 & Autonomous Browser Engine
Production integration of System 1 AI decision-making and Autonomous Background Browser Control for Google Antigravity (agy) agents and developers.
Designed to turn any standard laptop or desktop into an autonomous agent workstation without needing a GPU, without paid cloud credits, and without freezing or stealing your screen.
⚡ Core Philosophy: Zero-GPU, Sub-Millisecond Decisions
Traditional generative LLMs (Gemini, Claude, GPT) are System 2 thinkers:
Multi-second latency generating tokens
High cost per call
Heavy memory and GPU footprint
Prone to JSON schema formatting drift when only a categorical or safety decision is needed.
This engine introduces a CPU-native System 1 Decision Core combined with Isolated Background Browser Control:
[User Request / Agent Action]
│
▼
┌───────────────────────────────────┐
│ System 1 Decision Core (< 5 ms) │
│ (100% CPU Native, Zero GPU Req.) │
└─────────────────┬─────────────────┘
│
┌────────────────────────┼────────────────────────┐
▼ ▼ ▼
[jev_guardrail] [jev_choice] [jev_score]
Blocks destructive Routes to fast tier Triages task urgency
shell/filesystem ops or isolated browser and complexity
│ │ │
└────────────────────────┼────────────────────────┘
│
▼
┌───────────────────────────────────┐
│ FastBrave Background Automation │
│ (Headless, Zero Focus Stealing) │
└─────────────────┬─────────────────┘
│
┌────────────────────────┼────────────────────────┐
▼ ▼ ▼
Web Research Automated Form Data Extraction &
& Deep Crawling Filling & Submissions Snapshot AuditRelated MCP server: laya-mcp
🚀 Key Capabilities
1. 🛡️ System 1 Decision Primitives (CPU-Native, Zero GPU)
jev_guardrail: Sub-second pre-execution safety check. Catches destructive commands (rm -rf,git reset --hard,format,drop table,del /s) before they execute.jev_choice: Instant categorical routing with calibrated softmax probabilities (e.g., choosing subagents, execution modes, or tools).jev_score: Calibrated ordinal rubric grading (triage low vs critical urgency).jev_noul: Calibrated binary assertion probabilities (0.0 to 1.0).
Dual-Engine Architecture: Runs 100% locally on CPU out of the box with zero setup. If an official
TYPESAFE_API_KEYis provided, it automatically switches to TypeSafe Cloud Jev.
2. 🌐 Autonomous Background Browser Engine (FastBrave)
Zero Focus Stealing: Runs in an isolated, headless background process. Never steals your active mouse cursor, never moves your active windows, and never interrupts your gaming, streaming, or active work.
Auto-Detects Existing Browsers: Automatically hooks into your installed Brave, Google Chrome, or Microsoft Edge browser — zero need to download 300MB+ Playwright binaries.
Sub-Second Execution: Built-in resource blocker strips web fonts, analytics, and heavy media to complete form fills and research in sub-second single turns.
📦 What's Included
antigravity-typesafe-jev/
├── src/
│ └── mcp_server.py # Full Model Context Protocol (MCP) server
├── skills/
│ └── typesafe-jev/
│ └── SKILL.md # Antigravity native skill directive
├── examples/
│ ├── autonomous_browser.py # Background web research & form filling
│ ├── guardrail_hook.py # AGY pre-tool shell safety interceptor
│ ├── dynamic_router.py # Sub-second prompt routing tier
│ └── quickstart.py # Primitives usage (Choice, Score, Noul)
├── mcp_schemas/ # MCP JSON tool schemas
├── requirements.txt # Minimal dependencies
└── README.md🛠️ Quickstart
1. Clone & Install
git clone https://github.com/brkNx/antigravity-typesafe-jev.git
cd antigravity-typesafe-jev
pip install -r requirements.txt2. Test Background Browser Automation (Zero Focus Steal)
python examples/autonomous_browser.py "Antigravity AI"Output:
{
"status": "success",
"elapsed_ms": 1450,
"browser_used": "C:\\Program Files\\BraveSoftware\\Brave-Browser\\Application\\brave.exe",
"query": "Antigravity AI",
"extracted_items": [
"Operating System in 1,000 Lines – Intro",
"Autonomous Agents in Production",
"Calibrated Decision Primitives"
]
}3. Test System 1 Guardrail (Instant CPU Interceptor)
python examples/guardrail_hook.py "git reset --hard HEAD~5"
# [JEV GUARDRAIL] Destructive probability: 95.00%
# [JEV GUARDRAIL] Execution blocked! Dangerous command detected: 'git reset --hard HEAD~5'🔌 Connecting to Google Antigravity (agy)
Add the server to your Antigravity MCP configuration (~/.gemini/config/mcp_config.json):
{
"mcpServers": {
"jev": {
"command": "python",
"args": [
"C:\\Users\\brkN\\.gemini\\config\\mcp-jev\\server.py"
],
"env": {
"TYPESAFE_API_KEY": ""
}
}
}
}Note: Leaving
TYPESAFE_API_KEYempty activates the local CPU-native free tier. No API key, credit card, or payment method is required.
📊 Performance Comparison
Metric | Traditional Generative LLM (System 2) | Antigravity Jev (System 1) |
Latency | 1,500 – 6,000 ms | < 5 ms (Local CPU) |
GPU Requirement | VRAM / GPU required for local run | Zero GPU (100% CPU) |
Cost | Per-token API charges | 100% Free |
Schema Stability | Hallucinations possible | Strict Calibrated Primitives |
Desktop State | Can freeze screen if not isolated | 100% Background Isolated |
📄 License
MIT © brkNx
This server cannot be deployed
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