How to Use the USAJOBS (OPM) MCP in Mastra AI

Q: Can I run a continuous data pull for USAJOBS (OPM) using Mastra AI?

Yes. By chaining gethistoricjoas calls, the agent can continuously check for new or archived listings until the continuation tokens are exhausted.

Q: What tools should I use to structure a USAJOBS (OPM) data flow?

You'll need searchjobs for active roles, and you can combine it with getannouncementtext for deep dives into specific job requirements.

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Connect USAJOBS (OPM) MCP to Mastra AI

Create your Vinkius account to connect USAJOBS (OPM) 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 USAJOBS (OPM) with Mastra AI

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Reliable Job Search Chains for Mastra AI

Your workflow starts by using `search_jobs` to find target USAJOBS (OPM) openings. If the initial search fails, Mastra AI can automatically retry with an exponential backoff strategy until it succeeds. This handles transient network issues, ensuring your job data acquisition process completes reliably.

Bulk Data Retrieval via MCP Server

Need a full archive of listings? Use `get_historic_joas` to pull bulk historical USAJOBS (OPM) data. The workflow engine manages the continuation tokens, chaining calls until every record is retrieved and processed. This makes complex archival processes straightforward and fault-tolerant.

Validate Job Details with Mastra AI

Chain `get_announcement_text` to pull a job's description, then pass that text into the validation logic. Finally, use `get_code_list` to cross-reference required skills against known valid codes. This verifies data integrity. The workflow handles this multi-step dependency gracefully.

Setup guide

Set up USAJOBS (OPM) 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 USAJOBS (OPM) 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: "usajobs-opm-mcp-client",
  servers: {
    "usajobs-opm-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent USAJOBS (OPM) 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 USAJOBS. 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 USAJOBS (OPM) MCP in Mastra AI

If a search fails, the framework automatically retries the job search. You don't have to write complex retry logic; it handles failures gracefully.

It processes both current and past job postings, including long text descriptions. The framework is built to manage large volumes of this type of content.

Yes. By chaining `get_historic_joas` calls, the agent can continuously check for new or archived listings until the continuation tokens are exhausted.

You'll need `search_jobs` for active roles, and you can combine it with `get_announcement_text` for deep dives into specific job requirements.

This server touches detailed job posting text, specifically the long fields containing professional descriptions and required experience levels. This is generally public-facing data.

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