USAJOBS (OPM) MCP Server for Pydantic AIGive Pydantic AI instant access to 4 tools to Get Announcement Text, Get Code List, Get Historic Joas, and more

Name: USAJOBS (OPM)
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect USAJOBS (OPM) through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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The USAJOBS (OPM) MCP Server for Pydantic AI is a standout in the Industry Titans category — giving your AI agent 4 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

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python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to USAJOBS (OPM) "
            "(4 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in USAJOBS (OPM)?"
    )
    print(result.data)

asyncio.run(main())

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About USAJOBS (OPM) MCP Server

Connect to the official USAJOBS (Office of Personnel Management) database to explore federal career opportunities through your AI agent. This server provides comprehensive access to the federal hiring ecosystem.

Pydantic AI validates every USAJOBS (OPM) tool response against typed schemas, catching data inconsistencies at build time. Connect 4 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Active Job Search — Query live job announcements using keywords, locations, salary ranges, and hiring paths (e.g., Veterans, Students, Public).
Historic Data Retrieval — Access bulk data for current and past job opportunity announcements (JOAs) for trend analysis or research.
Detailed Job Analysis — Fetch full text for specific announcements, including detailed summaries, duties, and qualification requirements.
Reference Data — Retrieve valid codes for occupational series, agency subelements, pay plans, and more to refine your searches.

The USAJOBS (OPM) MCP Server exposes 4 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 4 USAJOBS (OPM) tools available for Pydantic AI

When Pydantic AI connects to USAJOBS (OPM) through Vinkius, your AI agent gets direct access to every tool listed below — spanning federal-jobs, career-search, public-sector, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

get

Get announcement text on USAJOBS (OPM)

for historic JOAs. Retrieve long text fields for current and past job postings

get

Get code list on USAJOBS (OPM)

No auth required. Retrieve valid values and codes for filtering search results

get

Get historic joas on USAJOBS (OPM)

Supports pagination via continuationtoken. Retrieve bulk data for current and past job postings

Search jobs on USAJOBS (OPM)

You can filter by keyword, location, job category, and more. Search for currently open job announcements on USAJOBS

Connect USAJOBS (OPM) to Pydantic AI via MCP

Follow these steps to wire USAJOBS (OPM) into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 4 tools from USAJOBS (OPM) with type-safe schemas

Why Use Pydantic AI with the USAJOBS (OPM) MCP Server

Pydantic AI provides unique advantages when paired with USAJOBS (OPM) through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your USAJOBS (OPM) integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your USAJOBS (OPM) connection logic from agent behavior for testable, maintainable code

USAJOBS (OPM) + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the USAJOBS (OPM) MCP Server delivers measurable value.

Type-safe data pipelines: query USAJOBS (OPM) with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple USAJOBS (OPM) tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query USAJOBS (OPM) and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock USAJOBS (OPM) responses and write comprehensive agent tests

Example Prompts for USAJOBS (OPM) in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with USAJOBS (OPM) immediately.

"Search for active Software Engineer jobs in Washington, DC with a minimum salary of $100,000."

"Get the full duties and qualifications for announcement number 784521900."

"List the occupational series codes for Information Technology positions."

Troubleshooting USAJOBS (OPM) MCP Server with Pydantic AI

Common issues when connecting USAJOBS (OPM) to Pydantic AI through Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

USAJOBS (OPM) + Pydantic AI FAQ

Common questions about integrating USAJOBS (OPM) MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your USAJOBS (OPM) MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.