DRIP
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., "@DRIPassess the wildfire in Rocky Ridge and generate a situation report"
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.
DRIP – Disaster Response Intelligence Platform
AI-powered emergency coordination platform built with NitroStack MCP to accelerate disaster response through intelligent planning, resource orchestration, and real-time operational insights.
Overview
DRIP (Disaster Response Intelligence Platform) is an AI-driven emergency response system designed to assist Disaster Management Authorities, Emergency Operations Centers (EOCs), first responders, and relief organizations.
Instead of relying on fragmented information and manual coordination, DRIP orchestrates specialized intelligence modules to:
Assess disaster severity
Analyze environmental conditions
Locate critical resources
Coordinate rescue operations
Generate actionable Situation Reports for decision makers
Built using NitroStack MCP, DRIP exposes intelligent tools that can be orchestrated by AI agents to support emergency response workflows.
Features
AI Planner
Intelligent incident analysis
Dynamic task selection
LLM-powered Situation Report generation
Minimal task execution strategy
Hallucination-resistant reporting
Intelligence Module
Provides:
Weather assessment
Hazard analysis
Safe route identification
Nearest hospital discovery
Shelter discovery
Severity estimation
Operations Module
Coordinates operational response:
Incident reporting
Rescue vehicle allocation
Volunteer assignment
Shelter updates
Relief inventory management
Emergency deployment workflow
Situation Reports
Automatically generates structured operational reports including:
Executive Summary
Severity Assessment
Affected Area
Threat Analysis
Resource Status
Tactical Action Plan
Intelligence Gaps
Operational Rationale
Architecture
User Incident
│
▼
Planner Orchestrator
│
┌───────────────┼───────────────┐
▼ ▼ ▼
Intelligence Resources Operations
│ │ │
└───────────────┼───────────────┘
▼
AI Situation ReportBuilt With
NitroStack MCP
TypeScript
Node.js
NitroCloud
Gemini API
Zod
Mapbox (Widgets)
Project Structure
src
│
├── planner/
│ ├── planner.module.ts
│ ├── planner.service.ts
│ └── planner.tasks.ts
│
├── modules/
│ ├── intelligence/
│ ├── operations/
│ ├── resources/
│ └── pizzaz/
│
├── prompts/
│ ├── systemPrompt.ts
│ └── responsePrompt.ts
│
├── services/
│ └── llm.ts
│
└── app.module.tsRunning Locally
git clone https://github.com/nanzz-leo/DRIP.git
cd DRIP
npm install
npm run build
npm run devExample Workflow
Incident Report
│
▼
Planner analyzes incident
│
▼
Assess Disaster
│
▼
Locate Resources
│
▼
Plan Rescue
│
▼
Generate AI Situation ReportDesign Principles
Human life first
Verified information only
Zero hallucination policy
Modular AI orchestration
MCP-native architecture
Extensible task-based design
Team
Built during the NitroStack × Amrita University Hackathon.
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