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Vinkius

GDACS MCP Server for Mastra AI 12 tools — connect in under 2 minutes

Built by Vinkius GDPR 12 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect GDACS through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "gdacs": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "GDACS Agent",
    instructions:
      "You help users interact with GDACS " +
      "using 12 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with GDACS?"
  );
  console.log(result.text);
}

main();
GDACS
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About GDACS MCP Server

Connect to GDACS (Global Disaster Alert and Coordination System) and monitor worldwide disaster activity through natural conversation — no API key needed.

Mastra's agent abstraction provides a clean separation between LLM logic and GDACS tool infrastructure. Connect 12 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

What you can do

  • Earthquake Tracking — Monitor earthquakes worldwide with magnitude filtering, depth data and impact estimates
  • Cyclone Monitoring — Track tropical cyclones, hurricanes and typhoons with categories, wind speeds and forecast tracks
  • Flood Alerts — Monitor flood events with affected population estimates and severity levels
  • Volcanic Activity — Track volcanic eruptions with ash plume data and alert levels
  • Wildfire Monitoring — Monitor wildfires with burned area estimates and affected populations
  • Drought Tracking — Track drought events with severity levels and population impact
  • Impact Estimates — Get population exposure, estimated fatalities and economic losses for each event
  • Alert Levels — View color-coded alerts (red=high, orange=medium, green=low)

The GDACS MCP Server exposes 12 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect GDACS to Mastra AI via MCP

Follow these steps to integrate the GDACS MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 12 tools from GDACS via MCP

Why Use Mastra AI with the GDACS MCP Server

Mastra AI provides unique advantages when paired with GDACS through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add GDACS without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every GDACS tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

GDACS + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the GDACS MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query GDACS, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed GDACS as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query GDACS on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using GDACS tools alongside other MCP servers

GDACS MCP Tools for Mastra AI (12)

These 12 tools become available when you connect GDACS to Mastra AI via MCP:

01

get_alert_detail

Get details for a specific alert

02

get_alerts

Alerts are color-coded: red (high impact), orange (medium impact), green (low impact). Supports filtering by event type and time period. Get disaster alerts

03

get_event_detail

Get details for a specific disaster event

04

get_event_geojson

Returns geographic boundaries, affected areas and population exposure polygons. Get GeoJSON data for a disaster event

05

get_event_list

Supports filtering by event type (EQ=earthquake, TC=cyclone, FL=flood, VO=volcano, WF=wildfire, DR=drought), date range, and time period. Returns event names, types, magnitudes, alert levels, start dates and affected countries. Search disaster events

06

get_impacts

Returns estimated population affected, fatalities, economic losses and confidence levels. Get impact estimates for a disaster event

07

get_latest_cyclones

Returns cyclone names, categories, wind speeds, locations, alert levels and forecast tracks. Get latest tropical cyclones worldwide

08

get_latest_droughts

Returns drought locations, start dates, severity levels, alert levels and affected populations. Get latest drought events worldwide

09

get_latest_earthquakes

Returns magnitude, depth, location, alert level and affected countries. Optionally filter by minimum magnitude and number of days. Get latest earthquakes worldwide

10

get_latest_floods

Returns flood locations, start dates, alert levels, affected populations and severity estimates. Get latest floods worldwide

11

get_latest_volcanoes

Returns volcano names, locations, eruption types, alert levels and ash plume information. Get latest volcanic activity worldwide

12

get_latest_wildfires

Returns fire locations, start dates, burned areas, alert levels and affected populations. Get latest wildfires worldwide

Example Prompts for GDACS in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with GDACS immediately.

01

"What earthquakes happened in the last 7 days?"

02

"Are there any active cyclones right now?"

03

"Show me flood alerts for the last 3 days."

Troubleshooting GDACS MCP Server with Mastra AI

Common issues when connecting GDACS to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

GDACS + Mastra AI FAQ

Common questions about integrating GDACS MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect GDACS to Mastra AI

Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.