How to Use the USAJOBS (OPM) MCP in Vercel AI SDK

Q: How do I display USAJOBS (OPM) search results in real-time using Vercel AI SDK?

You call searchjobs and stream the output directly into your React or Next.js component. The data appears live, giving users immediate feedback without hitting a spinner.

Q: Can I handle pagination when querying USAJOBS (OPM) with Vercel AI SDK?

Yes. The gethistoricjoas tool supports continuation tokens. Your agent client manages the loop, guaranteeing you pull all available bulk job data.

Q: Which USAJOBS (OPM) MCP Server tools are needed for a filtering UI?

You need both getcodelist to fetch valid codes and then use those results within the search process itself.

Build real-time USAJOBS (OPM) job data streams into your frontend using Vercel AI SDK.

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Connect USAJOBS (OPM) MCP to Vercel AI SDK

Create your Vinkius account to connect USAJOBS (OPM) to Vercel AI 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 Vercel AI SDK

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Stream Job Searches for Vercel AI SDK

Start by calling `search_jobs` to find active federal openings. Your agent sends the search parameters, and your UI client streams back job summaries instantly as they appear. This makes the user experience feel live. Instead of waiting for a single loading state, users see the list populate in real-time on the screen.

Analyze Job History with Vercel AI SDK

Need deep history? Use `get_historic_joas` to pull bulk data about past USAJOBS (OPM) listings. Since this tool handles pagination, your agent automatically cycles through continuation tokens until it gets all the required records. You'll get a complete dataset of job announcements without needing multiple API calls in your front end logic.

Validate Data for the MCP Server

Use `get_code_list` to check valid filtering codes, then pass those results into `get_announcement_text`. This lets you verify job details before displaying them. The client gets clean, validated data ready for immediate use. This combination of tools is perfect when you need the user to build a custom filter interface.

Setup guide

Set up USAJOBS (OPM) MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all USAJOBS (OPM) tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent USAJOBS (OPM) transactions",
});

console.log(text);
await mcpClient.close();

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.

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Common questions about USAJOBS (OPM) MCP in Vercel AI SDK

You call `search_jobs` and stream the output directly into your React or Next.js component. The data appears live, giving users immediate feedback without hitting a spinner.

The server handles long text fields for current and past job postings. You'll get the raw announcement text, which you can then process in your front end.

Yes. The `get_historic_joas` tool supports continuation tokens. Your agent client manages the loop, guaranteeing you pull all available bulk job data.

You need both `get_code_list` to fetch valid codes and then use those results within the search process itself.

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

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