How to Use the DOD Contracts (FPDS) MCP in Mastra AI

Q: How does Mastra AI handle the DOD Contracts (FPDS) XML feed?

You define a tool in your Mastra AI agent that calls searchcontracts. The agent receives the XML, which you then process using your existing workflow logic.

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Connect DOD Contracts (FPDS) MCP to Mastra AI

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Setup DOD Contracts (FPDS) with Mastra AI

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Automate contract research with Mastra AI

The `search_contracts` tool integrates into your Mastra AI agent workflows as a standard step. You define the search logic and let the agent execute the data retrieval. If the feed is slow, your workflow handles the retry logic automatically. You keep the process moving without manual oversight.

Conditional branching for procurement analysis

Use the output of `search_contracts` to trigger different paths in your agent logic. If a contract matches specific DOD criteria, the workflow moves to the next analytical phase. This allows for complex, multi-step operations that clean and parse the XML data. Your agents handle the heavy lifting while you define the business rules.

Deploy robust procurement monitors

Deploy your agents to any cloud environment with the confidence that the connection remains stable. Mastra AI keeps the MCP server link active throughout the agent lifecycle. Your procurement pipeline stays active 24/7. It tracks new contract awards and updates your internal records as soon as the data hits the feed.

Setup guide

Set up DOD Contracts (FPDS) 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 DOD Contracts (FPDS) 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: "dod-contracts-fpds-mcp-client",
  servers: {
    "dod-contracts-fpds-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

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Common questions about DOD Contracts (FPDS) MCP in Mastra AI

You define a tool in your Mastra AI agent that calls `search_contracts`. The agent receives the XML, which you then process using your existing workflow logic.

You can set up a recurring workflow that runs the search tool. Your agent compares new results against your saved criteria and notifies you of relevant opportunities.

Yes, you can enable human-in-the-loop approvals before the agent acts on the contract data found. This ensures you verify the output before it hits your internal systems.

Every request is ephemeral and contained within the V8 sandbox. Once your agent task finishes, the session memory clears automatically.

It processes federal procurement records, including contract identifiers, agency codes, and award descriptions provided by the FPDS feed.

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