How to Use the CATS ATS MCP in Vercel AI SDK

Q: How do I filter CATS ATS data inside Vercel AI SDK?

You pass your search criteria directly into the searchcandidates tool function within your SDK handler. The server processes these arguments and returns the specific records matching your query.

Pull live candidate and job data into your Vercel AI SDK frontends for real-time UI updates.

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Connect CATS ATS MCP to Vercel AI SDK

Create your Vinkius account to connect CATS ATS 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 CATS ATS with Vercel AI SDK

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Stream candidate data into Vercel AI SDK

Feed your UI with live recruitment data by calling `get_candidate_details` or `search_candidates` directly from your server-side logic. The data packets push to your frontend components the moment they arrive, keeping your dashboard current. You won't see static loading screens here. Because this MCP Server hooks into the SDK streaming patterns, candidate profiles populate your React or Next.js components as the bits hit your edge functions.

Query job orders via Vercel AI SDK

Expose open positions to your users by mapping `list_job_orders` to your application tools. Your interface handles the response objects immediately, allowing for instant filtering of active job lists. Everything stays in sync with your ATS backend. Using `get_job_details` gives your agents the specific data points needed to populate forms or generate job descriptions without manual input.

Track recruitment activity in Vercel AI SDK

Hook `list_recruitment_activities` into your event listeners to show recruiter updates in real-time. This keeps your team informed about notes and status changes without constant page refreshes. Your front-end logic consumes these tool outputs as a stream. It's built for developers who want to show the AI at work rather than hiding it behind a progress bar.

Setup guide

Set up CATS ATS 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 CATS ATS 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 CATS ATS 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 CATS ATS. 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 CATS ATS MCP in Vercel AI SDK

You pass your search criteria directly into the `search_candidates` tool function within your SDK handler. The server processes these arguments and returns the specific records matching your query.

The current toolset focuses on read-only operations for recruitment data. You can pull information to display, but you cannot modify candidate or job files through this connection.

Vinkius handles your connection through an encrypted endpoint token, keeping your ATS credentials separate from your application code. Data stays in transit only for the duration of the tool call.

Check your API key permissions inside your ATS settings. If the user account lacks read access to specific job orders, the server returns an empty list.

No caching happens on the server side. Every tool call initiates a fresh request to your ATS, ensuring your UI always reflects the most recent recruitment activity.

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