How to Use the USAJOBS (OPM) MCP in OpenAI Agents SDK

Q: How does the OpenAI Agents SDK use USAJOBS (OPM) for filtering?

The agent uses the getcodelist tool to find valid codes and values. This capability allows your system to accurately filter search results, ensuring every query against USAJOBS (OPM) is precise.

Q: Can the OpenAI Agents SDK handle large volumes of USAJOBS (OPM) data?

Yeah. The gethistoricjoas tool is built to handle volume, supporting pagination via a continuation token. This means you can pull massive amounts of bulk job data without running into single-query limits.

Q: How do I get current job details using USAJOBS (OPM) with the OpenAI Agents SDK?

You use searchjobs to find active openings. This tool lets you specify keywords, location, and job category to quickly pinpoint exactly what's available right now.

Process job data from USAJOBS (OPM) using your OpenAI Agents SDK.

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Connect USAJOBS (OPM) MCP to OpenAI Agents SDK

Create your Vinkius account to connect USAJOBS (OPM) to OpenAI Agents SDK 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 OpenAI Agents SDK

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Search for Active Job Listings

Need to find currently open jobs? Use `search_jobs` to pull active federal listings. You can narrow the search by location, keywords, or job category—it handles all that stuff. It's direct: you feed it criteria and get a list of opportunities straight from USAJOBS (OPM). No guesswork involved.

Access Historical Job Announcements

The `get_historic_joas` tool lets you pull bulk data for both current and past job postings. Since it supports a continuation token, you can paginate through massive archives without hitting limits. This is great for research or building historical models. You'll get detailed records of what was posted over time.

Validate Search Filters with MCP Server

Before running a big search, you need the right codes. Call `get_code_list` to retrieve all valid values and codes for filtering job searches. This tool requires no authentication, keeping it fast and simple. This ensures your agent doesn't waste time on bad data or invalid filters when querying USAJOBS (OPM).

Setup guide

Set up USAJOBS (OPM) MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all USAJOBS (OPM) tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives USAJOBS (OPM) tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate USAJOBS (OPM) tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="USAJOBS (OPM) Agent",
            instructions="You have access to USAJOBS (OPM) tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about USAJOBS (OPM) MCP in OpenAI Agents SDK

The agent uses the `get_code_list` tool to find valid codes and values. This capability allows your system to accurately filter search results, ensuring every query against USAJOBS (OPM) is precise.

The MCP Server handles job announcement text and bulk listing data. Specifically, you'll get long text fields from `get_announcement_text` and comprehensive record sets when running historical searches.

Yeah. The `get_historic_joas` tool is built to handle volume, supporting pagination via a continuation token. This means you can pull massive amounts of bulk job data without running into single-query limits.

This MCP Server touches Job Announcement Text and structured code values. Your AI client manages the connection, so you should always follow best practices when handling sensitive employment records.

You use `search_jobs` to find active openings. This tool lets you specify keywords, location, and job category to quickly pinpoint exactly what's available right now.

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