QuantGuard MCP

QuantGuard MCP

QuantGuard MCP is a Model Context Protocol server for institutional trading desks to continuously monitor market microstructure and assess trading safety via multiple specialist agents, generating deterministic risk decisions explained in natural language.

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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

  1. Continuous Microstructure Monitoring: Feeds on orderbook depth and price streams (with live Binance WebSocket integrations for crypto).
  2. 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.
  3. Institutional Risk Engine: Computes Value at Risk (VaR 95%), Expected Shortfall (CVaR), exposure limits, and leverage thresholds.
  4. Keyword Sentiment Lexicon: Evaluates breaking headlines and macroeconomic calendars without LLM latency.
  5. Multi-Agent Orchestration: Coordinate reports across 7 specialist agents:
    • Toxicity Agent, Spoofing Agent, Liquidity Agent, Volatility Agent, Risk Agent, News Agent, and Strategy Agent.
  6. Polished Interactive Widgets: Sleek dark-mode React dashboards loaded natively in NitroStudio.

🛠️ Installation & Setup

  1. Clone & Install Dependencies:

    npm install
    
  2. Configure Environment Variables: Create a .env file 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_here
    
  3. Build 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: VWAP or MARKET.
  • 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/mcp
  • Visual Studio: Launch NitroStudio locally and point it to the project directory to inspect the quantguard-dashboard widget.

☁️ Cloud Deployment (NitroCloud)

Deploy your MCP server to NitroCloud using the official NitroStack CLI utility:

npx nitrostack-cli deploy --cloud

This bundles production assets, optimizes SQLite migrations, registers tool metadata, and deploys it to a serverless edge endpoint.

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