Skip to main content
Glama
nanzz-leo

DRIP

by nanzz-leo

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

Related MCP server: resQ MCP Server

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 Report

Built 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.ts

Running Locally

git clone https://github.com/nanzz-leo/DRIP.git

cd DRIP

npm install

npm run build

npm run dev

Example Workflow

Incident Report
        │
        ▼
Planner analyzes incident
        │
        ▼
Assess Disaster
        │
        ▼
Locate Resources
        │
        ▼
Plan Rescue
        │
        ▼
Generate AI Situation Report

Design 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.

Install Server
F
license - not found
B
quality
B
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Related MCP Servers

  • A
    license
    -
    quality
    D
    maintenance
    An AI-powered security operations platform that integrates with SIEM, EDR, and case management systems via MCP to automate incident response and investigation workflows. It provides specialized tools for alert triage, threat intelligence enrichment, and endpoint remediation across vendor-neutral APIs.
    46
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    A Model Context Protocol server for the resQ emergency response system that integrates with digital twin simulations and coordination engines. It allows users to trigger simulations, generate deployment strategies, and monitor real-time drone status for incident response analysis.
    3
    1
    Apache 2.0
  • A
    license
    -
    quality
    D
    maintenance
    A powerful MCP server that connects AI assistants to authoritative natural hazard data sources, enabling monitoring of earthquakes, tsunamis, volcanoes, and solar events with configurable alerts and webhooks.
    1
    MIT
  • F
    license
    -
    quality
    B
    maintenance
    An MCP-native enterprise operations platform that unifies team management, product catalog, order processing, knowledge base, location intelligence, analytics, and DevOps monitoring into a single server accessible from any MCP-compatible AI agent.

View all related MCP servers

Related MCP Connectors

  • MCP Hub: AI service discovery, per-user OAuth, and multi-service workflow orchestration

  • An AI concierge that turns static forms into adaptive AI conversations. From any MCP client.

  • MCP server for AI agents to plan, verify, and deploy Cloudflare-native apps.

View all MCP Connectors

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/nanzz-leo/DRIP'

If you have feedback or need assistance with the MCP directory API, please join our Discord server