How to Use the FEMA MCP in Mastra AI

Q: Can I build a workflow to track housing assistance?

Yes. You can chain gethousingassistance and getindividualsprogram together in a single workflow to analyze regional aid distribution patterns.

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Connect FEMA MCP to Mastra AI

Create your Vinkius account to connect FEMA to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup FEMA with Mastra AI

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Claude

Perplexity

Automating local agency lookups with Mastra AI

Mastra AI excels at handling multi-step processes when things go wrong. If your agent needs to find local contacts, it can query `get_emergency_agencies` and immediately trigger follow-up alerts based on the results. If the API call fails due to network issues, Mastra handles the retry logic automatically. You do not have to write custom error-handling loops just to get simple agency lists.

Directing mitigation funds with conditional logic

Tracking grant money requires strict procedural checks. This MCP Server lets your Mastra agents query `get_hazard_mitigation_grants` to check project statuses. You can set up workflows that branch based on the funding amount. If a grant exceeds a certain threshold, the system pauses and requests human approval before moving to the next step.

Monitoring regional declarations automatically

Keep tabs on active disasters without manual checking. Use this MCP Server to scan for new events on a schedule with `list_disaster_declarations`. Once a new declaration is spotted, the workflow can automatically query `get_fema_regions` to identify the correct regional office and dispatch notifications to your team.

Setup guide

Set up FEMA MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All FEMA tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

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

const mcpClient = new MCPClient({
  id: "fema-mcp-client",
  servers: {
    "fema-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "FEMA Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to FEMA tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent FEMA transactions"
);
console.log(result.text);

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by FEMA. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about FEMA MCP in Mastra AI

Initialize the client using the @mastra/mcp package and pass the Vinkius URL. Then, spread the tools directly into your Mastra agent configuration.

Yes. You can configure Mastra to require manual approval before executing tools like `get_hazard_mitigation_grants` if you want to verify the target project first.

Mastra has built-in retry mechanisms with exponential backoff. If `get_disaster_applications` hits a rate limit, the client backs off and retries automatically.

Yes. You can chain `get_housing_assistance` and `get_individuals_program` together in a single workflow to analyze regional aid distribution patterns.

The server only pulls public aggregate data, such as hazard mitigation project data via `get_hazard_mitigation_grants`. Vinkius runs the server in a secure, isolated sandbox, meaning your workflow queries are never logged or exposed to third parties.

Use it with your favorite AI tools

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