How to Use the USAspending (Federal Spending) MCP in Mastra AI

Q: How can I analyze USAspending (Federal Spending) data using Mastra AI?

Mastra AI lets you build full workflows. You might combine getagencyoverview with searchspendingbycategory. It processes the data, making sure all steps—from querying to outputting—are handled gracefully.

Q: Can I track time-based spending trends for USAspending (Federal Spending) using Mastra AI?

Absolutely. Use searchspendingovertime in a multi-step workflow. The framework handles the aggregation of transactions over periods, giving you reliable historical data points.

Build complex US federal spending workflows with Mastra AI's reliable MCP integration.

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Connect USAspending (Federal Spending) MCP to Mastra AI

Create your Vinkius account to connect USAspending (Federal Spending) 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 USAspending (Federal Spending) with Mastra AI

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Perplexity

Handle multi-step award lookups.

Start by calling `get_award` to pull details on a specific funding grant. Then, use `get_subawards` in the same workflow to list all related subawarding recipients. Mastra AI manages this sequence automatically. It's perfect for workflows where you need to confirm an award's scope and then immediately track its distribution.

Analyze spending across multiple agencies.

You can check the total funding picture using `get_agency_awards` to get summary transactions and obligations for a whole agency. Then, you might use `get_agency_sub_agencies` to drill down into specific offices. Mastra AI handles these sequential API calls, ensuring that if one fails, the entire workflow doesn't just crash.

Automate data download and status checks.

When you trigger a large report, like `bulk_download_awards`, Mastra AI starts the job. You then use `get_download_status` to poll for completion. The built-in retry logic means if the download endpoint is temporarily down, your workflow automatically tries again with exponential backoff.

Setup guide

Set up USAspending (Federal Spending) 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 USAspending (Federal Spending) 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: "usaspending-federal-spending-mcp-client",
  servers: {
    "usaspending-federal-spending-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent USAspending (Federal Spending) 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 USAspending. 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 USAspending (Federal Spending) MCP in Mastra AI

Mastra AI lets you build full workflows. You might combine `get_agency_overview` with `search_spending_by_category`. It processes the data, making sure all steps—from querying to outputting—are handled gracefully.

Absolutely. Use `search_spending_over_time` in a multi-step workflow. The framework handles the aggregation of transactions over periods, giving you reliable historical data points.

Yes. Mastra AI’s core strength is failure handling. If a tool call like `get_recipient` times out or returns an error, the framework automatically retries the operation.

Yep. You can build a dedicated workflow around emergency funds using `get_disaster_overview` and related tools, ensuring that even complex reporting processes for disaster spending succeed.

This server touches structured federal award and transaction data, including agency budgetary resources, recipient names, and geographic spending metrics.

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