QuantGuard MCP
Click on "Install 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., "@QuantGuard MCPAnalyze current market toxicity and spoofing activity for BTC/USDT"
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.
QuantGuard MCP
QuantGuard MCP is a Model Context Protocol (MCP) server built on the NitroStack framework (TypeScript, NestJS-style dependency injection, @Tool / @Resource / @Prompt decorators, Zod validation, and React visual widgets).
It is designed for institutional trading desks to continuously monitor market microstructure and assess trading safety across multiple specialist agents, generating deterministic risk decisions explained in natural language.
📐 Low-Level Design Document (LLD) →
Complete architecture diagrams, database ERD, agent orchestration flow, tool/resource API contracts, prompt templates, and UI widget specifications.
🚀 Key Features
Continuous Microstructure Monitoring: Feeds on orderbook depth and price streams (with live Binance WebSocket integrations for crypto).
Deterministic Risk & Execution Rules:
Toxicity (VPIN): Calculates signed-volume imbalances over volume buckets.
Spoofing Detection: Heuristics to detect large resting orders that cancel quickly to manipulate price direction.
Liquidity Profile: Estimates slippage under square-root market-impact models.
Institutional Risk Engine: Computes Value at Risk (VaR 95%), Expected Shortfall (CVaR), exposure limits, and leverage thresholds.
Keyword Sentiment Lexicon: Evaluates breaking headlines and macroeconomic calendars without LLM latency.
Multi-Agent Orchestration: Coordinate reports across 7 specialist agents:
Toxicity Agent, Spoofing Agent, Liquidity Agent, Volatility Agent, Risk Agent, News Agent, and Strategy Agent.
Polished Interactive Widgets: Sleek dark-mode React dashboards loaded natively in NitroStudio.
Related MCP server: fix-mcp
🛠️ Installation & Setup
Clone & Install Dependencies:
npm installConfigure Environment Variables: Create a
.envfile in the root directory:# Server Config NODE_ENV=development PORT=3000 # Demo Mode Toggle DEMO_MODE=true # Optional LLM keys (will use high-quality local templates if omitted) GEMINI_API_KEY=your_gemini_api_key_here OPENAI_API_KEY=your_openai_api_key_hereBuild the Server & Widgets:
npm run build
🏁 Live Demo Simulation
QuantGuard comes with a built-in terminal dashboard simulator. It launches the MCP server in DEMO_MODE=true, subscribes to a live Binance feed, and schedules a synthetic spoofing attack timeline to demonstrate the server's protection logic:
0s - 120s: Normal market conditions. Recommended Strategy:
VWAPorMARKET.120s - 180s: Spoofing wall injected. Recommended Strategy: switches instantly to
WAIT.180s+: Spoofing wall cancelled. Recommended Strategy: recovers back to
VWAP.
To launch the interactive demo:
node demo.js🔌 Connecting to Client / NitroStudio
STDIO Connection: Add to your MCP client config (e.g., Claude Desktop):
{ "mcpServers": { "quantguard": { "command": "node", "args": ["C:/Users/Siddharth/.gemini/antigravity/scratch/quantguard-mcp/dist/index.js"], "env": { "DEMO_MODE": "true" } } } }Streamable HTTP Endpoint: Connect via
http://localhost:3000/mcpVisual Studio: Launch NitroStudio locally and point it to the project directory to inspect the
quantguard-dashboardwidget.
☁️ Cloud Deployment (NitroCloud)
Deploy your MCP server to NitroCloud using the official NitroStack CLI utility:
npx nitrostack-cli deploy --cloudThis bundles production assets, optimizes SQLite migrations, registers tool metadata, and deploys it to a serverless edge endpoint.
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