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FEMA MCP Server for Mastra AI 11 tools — connect in under 2 minutes

Built by Vinkius GDPR 11 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect FEMA 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: {
      "fema": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "FEMA Agent",
    instructions:
      "You help users interact with FEMA " +
      "using 11 tools.",
    model: openai("gpt-4o"),
    tools,
  });

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

main();
FEMA
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 FEMA MCP Server

Connect to the OpenFEMA public database through any AI agent and gain instant access to official data regarding disasters, emergency management, and federal assistance programs.

Mastra's agent abstraction provides a clean separation between LLM logic and FEMA tool infrastructure. Connect 11 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

  • Disaster Tracking — List official FEMA disaster declarations since 1953 and fetch detailed metadata for specific incidents natively
  • Emergency Orchestration — List emergency management agencies by state to verify local coordination contacts flawlessly
  • Assistance Analysis — Query housing assistance program data and individual assistance registrations to analyze recovery efforts natively
  • Grant Inspection — Access hazard mitigation assistance projects and grant details to monitor community safety investments flawlessly
  • Regional Insights — List official FEMA regions and web center locations to understand federal jurisdictional boundaries synchronously
  • Public Data Access — Retrieve raw structured data from the official U.S. Federal Emergency Management Agency API without complex manual exports

The FEMA MCP Server exposes 11 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 FEMA to Mastra AI via MCP

Follow these steps to integrate the FEMA 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 11 tools from FEMA via MCP

Why Use Mastra AI with the FEMA MCP Server

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

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add FEMA 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 FEMA 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

FEMA + Mastra AI Use Cases

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

01

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

02

SaaS integrations: embed FEMA 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 FEMA on a cron and store results in your database automatically

04

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

FEMA MCP Tools for Mastra AI (11)

These 11 tools become available when you connect FEMA to Mastra AI via MCP:

01

get_disaster_applications

Get statistics on disaster assistance applications

02

get_emergency_agencies

List emergency management agencies by state

03

get_fema_regions

List official FEMA regions

04

get_fema_web_centers

List FEMA web center locations

05

get_hazard_mitigation_grants

Get data on hazard mitigation assistance projects

06

get_housing_assistance

Get data regarding FEMA housing assistance programs

07

get_individuals_program

Get data on individuals and households program registrations

08

get_me

Get current API status

09

get_public_assistance_applicants

List applicants for FEMA public assistance

10

get_registration_intake

Get data from individual and household program registrations

11

list_disaster_declarations

List recent official FEMA disaster declarations

Example Prompts for FEMA in Mastra AI

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

01

"List recent disaster declarations in Florida."

02

"Get emergency management agency info for California."

03

"Show hazard mitigation projects in Texas."

Troubleshooting FEMA MCP Server with Mastra AI

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

01

createMCPClient not exported

Install: npm install @mastra/mcp

FEMA + Mastra AI FAQ

Common questions about integrating FEMA 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 FEMA to Mastra AI

Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.