How to Use the Data.gov MCP in Mastra AI

Q: How can my Mastra AI agent find all datasets tagged 'agriculture' on Data.gov?

Your agent should call the gettagdatasets tool with the tag parameter set to "agriculture". It will return a list of all matching datasets, including their titles and descriptions, ready for your workflow to process.

Q: What's the best way to get an overview of the entire Data.gov API?

Use the getstatus tool. It gives you a quick summary with total counts of all datasets, organizations, groups, and tags available through the API. It's a good first step for any monitoring workflow.

Q: Can a Mastra AI workflow check for new finance datasets on Data.gov and download them?

Yes. Create a workflow that calls searchdatasets with a query for "finance" and sorts by modification date. If it finds new datasets, a subsequent step in the workflow can use the resource URLs to download the files. Mastra's engine can manage this entire sequence.

Q: How do I build a Mastra AI workflow that only processes CSV files from Data.gov?

Your agent can use getdataset to get a dataset's details, then inspect the resource list. The workflow can then use conditional logic to check if a resource's format is "CSV" before proceeding to the next step. This server provides all the necessary metadata.

Create automated, fault-tolerant data ingestion workflows from Data.gov. With this MCP Server, Mastra AI handles the retries and branching for you.

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Connect Data.gov MCP to Mastra AI

Create your Vinkius account to connect Data.gov 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 Data.gov with Mastra AI

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Build Failsafe Data Pipelines

Set up a workflow that automatically searches for new datasets on a schedule. Your Mastra agent can run `search_datasets` with a query for "public-safety" and a sort order of "metadata_modified desc" to find the latest files. Mastra's engine ensures this job runs reliably. If the Data.gov API is temporarily down, it automatically retries the call. You don't have to write any boilerplate error-handling code for that. That's the point of a managed MCP connection.

Process Data Based on Content

Your workflow can make decisions based on the data it finds. For instance, use `get_dataset` to check a dataset's license information before your agent decides to download its resources. With Mastra AI, you can build conditional logic right into the workflow. If the license is "Public Domain," proceed to download. If not, the agent can log the dataset ID and notify an admin for review, all in one automated process.

Monitor Data Sources with Mastra AI

Keep an eye on the agencies you rely on. Set up a workflow to periodically run `get_organization_datasets` for a specific government body, like the Department of Education. Your agent can then compare the new list of datasets against a stored baseline. If new datasets appear or old ones are removed, the workflow can trigger another process, like sending an alert to a Slack channel. This MCP server gives you the raw data to power it.

Setup guide

Set up Data.gov 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 Data.gov 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: "datagov-mcp-client",
  servers: {
    "datagov-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent Data.gov 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 Data.gov. 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 Data.gov MCP in Mastra AI

Your agent should call the `get_tag_datasets` tool with the `tag` parameter set to "agriculture". It will return a list of all matching datasets, including their titles and descriptions, ready for your workflow to process.

Use the `get_status` tool. It gives you a quick summary with total counts of all datasets, organizations, groups, and tags available through the API. It's a good first step for any monitoring workflow.

Yes. Create a workflow that calls `search_datasets` with a query for "finance" and sorts by modification date. If it finds new datasets, a subsequent step in the workflow can use the resource URLs to download the files. Mastra's engine can manage this entire sequence.

Your agent can use `get_dataset` to get a dataset's details, then inspect the resource list. The workflow can then use conditional logic to check if a resource's format is "CSV" before proceeding to the next step. This server provides all the necessary metadata.

The server only queries public information from the Data.gov API, such as dataset metadata and organization details. For Mastra AI, Vinkius provides a dedicated, sandboxed endpoint for your workflows. All traffic is encrypted, and your API key is managed securely by the Vinkius platform.

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