BFSI & FinTech Artificially intelligentSubmitted July 18, 2026

QuantGuard MCP - Multi-Agent Microstructure Surveillance & Pre-Trade Risk Firewall

An MCP app on the Model Context Protocol built by Artificially intelligent at the Amrita University Amritapuri campus NitroStack × MCP To The Moon hackathon and deployed on NitroStack.

About this project

QuantGuard MCP is an AI-powered market microstructure surveillance and pre-trade risk intelligence firewall designed for institutional trading desks and portfolio managers. Built on the NitroStack framework, the server acts as an inline security layer that intercepts dangerous market conditions in real-time before orders are executed on the exchange. Key Features: 1. Multi-Agent Analysis Pipeline: Orchestrates 7 specialized agents (Liquidity, Toxicity, Spoofing, Volatility, Risk, News, and a Chief Strategy Agent) fanning out in parallel. 2. Microstructure Detection: Implements heuristics for detecting spoofing walls, volume-synchronized probability of toxicity (VPIN) alerts, realized volatility spikes, and square-root model slippage estimation. 3. Deterministic Decision Engine: Integrates a strict rule matrix (e.g., VPIN > 0.7 or spoofing blocks execution) with LLM-generated plain-English strategy memos explaining risk verdicts. 4. Interactive Dashboard Widget: Features custom dark-mode React dashboard components rendered inline in MCP clients, displaying toxicity gauges, spoofing alerts, and pre-trade Value-at-Risk limits. 5. Production-Ready: Full live Binance WebSocket simulation replaying normal-to-toxic market conditions, fully deployed to NitroCloud with GitHub CI/CD integration. What makes it special is its transition of LLM tools from offline advice to a proactive, inline market guardian. It bridges high-throughput quantitative metrics with natural-language strategic reasoning on any MCP-compatible AI client.

BFSI & FinTech track

Build AI solutions for banking, payments, insurance, fraud detection, lending, and financial inclusion.

Live MCP appSource coder/mcptothemoon post

Team Artificially intelligent

  • Sreedev Puthikunnathu Vinod NairLead

  • Siddharth S

  • Avinash Menon

  • Hari Sankar v

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Frequently asked questions

What does QuantGuard MCP - Multi-Agent Microstructure Surveillance & Pre-Trade Risk Firewall do?
QuantGuard MCP is an AI-powered market microstructure surveillance and pre-trade risk intelligence firewall designed for institutional trading desks and portfolio managers. Built on the NitroStack framework, the server acts as an inline security layer that intercepts dangerous market conditions in real-time before orders are executed on the exchange. Key Features: 1. Multi-Agent Analysis Pipeline: Orchestrates 7 specialized agents (Liquidity, Toxicity, Spoofing, Volatility, Risk, News, and a Chief Strategy Agent) fanning out in parallel. 2. Microstructure Detection: Implements heuristics for detecting spoofing walls, volume-synchronized probability of toxicity (VPIN) alerts, realized volatility spikes, and square-root model slippage estimation. 3. Deterministic Decision Engine: Integrates a strict rule matrix (e.g., VPIN > 0.7 or spoofing blocks execution) with LLM-generated plain-English strategy memos explaining risk verdicts. 4. Interactive Dashboard Widget: Features custom dark-mode React dashboard components rendered inline in MCP clients, displaying toxicity gauges, spoofing alerts, and pre-trade Value-at-Risk limits. 5. Production-Ready: Full live Binance WebSocket simulation replaying normal-to-toxic market conditions, fully deployed to NitroCloud with GitHub CI/CD integration. What makes it special is its transition of LLM tools from offline advice to a proactive, inline market guardian. It bridges high-throughput quantitative metrics with natural-language strategic reasoning on any MCP-compatible AI client.
Who built QuantGuard MCP - Multi-Agent Microstructure Surveillance & Pre-Trade Risk Firewall?
QuantGuard MCP - Multi-Agent Microstructure Surveillance & Pre-Trade Risk Firewall was built by team Artificially intelligent at the Amrita University Amritapuri campus NitroStack × MCP To The Moon hackathon, in the BFSI & FinTech track.
What is an MCP app and how is it built?
An MCP app is an application built on the Model Context Protocol — an open standard that lets AI agents connect to tools, data, and APIs. This project exposes MCP tools and resources that agentic AI systems can call. It was built and deployed on NitroStack, the full-stack platform for shipping MCP apps and servers.