USAJOBS (OPM) MCP Server for LlamaIndexGive LlamaIndex 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

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add USAJOBS (OPM) as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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

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python

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to USAJOBS (OPM). "
            "You have 4 tools available."
        ),
    )

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

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.

LlamaIndex agents combine USAJOBS (OPM) tool responses with indexed documents for comprehensive, grounded answers. Connect 4 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex

When LlamaIndex 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 LlamaIndex via MCP

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

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

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)

Why Use LlamaIndex with the USAJOBS (OPM) MCP Server

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

Data-first architecture: LlamaIndex agents combine USAJOBS (OPM) tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain USAJOBS (OPM) tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query USAJOBS (OPM), a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what USAJOBS (OPM) tools were called, what data was returned, and how it influenced the final answer

USAJOBS (OPM) + LlamaIndex Use Cases

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

Hybrid search: combine USAJOBS (OPM) real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query USAJOBS (OPM) to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying USAJOBS (OPM) for fresh data

Analytical workflows: chain USAJOBS (OPM) queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for USAJOBS (OPM) in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

USAJOBS (OPM) + LlamaIndex FAQ

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

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query USAJOBS (OPM) tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

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