How to Use the USAJOBS (OPM) MCP in Google ADK

Q: How can the Google ADK connect to USAJOBS (OPM) job data?

The agent connects using the MCP Server tools like searchjobs and gethistoricjoas. These tools expose the necessary endpoints for your Gemini models to access live or archived federal records.

Q: Does the Google ADK handle large-scale USAJOBS (OPM) searches?

Yes. By using gethistoricjoas, your agent can paginate through records, handling massive volumes of past and present job postings efficiently within your enterprise workflow.

Q: How can I ensure accurate filtering for USAJOBS (OPM) using the Google ADK?

Use getcodelist first. This tool gives you a clean list of valid values and codes, so your agent doesn't attempt to filter searches with bad or non-existent data.

Process USAJOBS (OPM) data using the Google ADK for enterprise agents.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect USAJOBS (OPM) MCP to Google ADK

Create your Vinkius account to connect USAJOBS (OPM) to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup USAJOBS (OPM) with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Search and Analyze Openings

Want to find currently open federal jobs? Use `search_jobs` to query active listings. You can filter by keyword, location, or job category directly through this MCP Server. The result is a direct feed of opportunities from USAJOBS (OPM). Your agent gets exactly the data it needs for analysis.

Retrieve Job Announcement Text

The `get_announcement_text` tool pulls long text fields. This capability is key when you need the full, detailed narrative of a current or past job posting. It gives your agent rich context that simple titles can't provide.

Bulk Retrieval via MCP Server

The `get_historic_joas` tool pulls bulk data for both active and archived listings. It supports pagination using a continuation token, letting your agent crawl entire datasets. This is essential when populating BigQuery or running large-scale historical comparisons on USAJOBS (OPM).

Setup guide

Set up USAJOBS (OPM) MCP in Google ADK

Prerequisites

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

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with USAJOBS (OPM) tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="USAJOBS (OPM)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to USAJOBS (OPM) tools via MCP.",
    tools=mcp_tools,
)

Get your connection token →

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect USAJOBS (OPM) now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about USAJOBS (OPM) MCP in Google ADK

The agent connects using the MCP Server tools like `search_jobs` and `get_historic_joas`. These tools expose the necessary endpoints for your Gemini models to access live or archived federal records.

You'll get Job Announcement Text and structured code values. The server also provides bulk record sets, allowing you to capture the full range of historical job listings.

Yes. By using `get_historic_joas`, your agent can paginate through records, handling massive volumes of past and present job postings efficiently within your enterprise workflow.

The MCP Server touches Job Announcement Text and structured code values. Since you're building enterprise agents on Google Cloud, make sure your governance policies cover all job listing records.

Use `get_code_list` first. This tool gives you a clean list of valid values and codes, so your agent doesn't attempt to filter searches with bad or non-existent data.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript