How to Use the Workable Alternative MCP in Vercel AI SDK

Q: Can I get multiple types of data using Workable Alternative and Vercel AI SDK?

Yeah, you can. You use different tools like listjobs for job openings or getcandidate for a person's specific details. The SDK handles streaming the results from all those separate operations into your UI.

Show real-time recruitment data streaming directly into your UI using Vercel AI SDK.

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Connect Workable Alternative MCP to Vercel AI SDK

Create your Vinkius account to connect Workable Alternative 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 Workable Alternative with Vercel AI SDK

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Real-Time Candidate Lookups with Vercel AI SDK

Use `get_candidate` to fetch a specific person's profile in Workable. Because the data streams directly into your frontend, users see candidate details pop up live—no loading spinner required. This direct connection means you build user-facing products that feel instant. It’s perfect for showing search results or profiles as they are being processed by your agent.

List Job Postings via MCP Server

`list_jobs` pulls all active job postings from Workable. Your AI client processes this list and streams the titles and requirements right into a React component. You get to build complex dashboards where the data appears in real-time, giving your users a live view of available opportunities without waiting for an API call to complete.

Managing Recruiters with Vercel AI SDK

The `list_recruiters` tool lets you grab the contact information and roles of all recruiters. Your agent processes this data and streams it into a component, letting your UI update as fast as possible. This is great for internal tools. You're not just fetching records; you're building an experience where the user sees the results appear instantly on screen.

Setup guide

Set up Workable Alternative 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 Workable Alternative 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 Workable Alternative transactions",
});

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

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Common questions about Workable Alternative MCP in Vercel AI SDK

It streams data live. Instead of getting a single block of JSON after a delay, your Vercel AI SDK client receives the recruitment information—like candidate lists or job details—as it's being processed. This makes the UI feel immediate.

Yeah, you can. You use different tools like `list_jobs` for job openings or `get_candidate` for a person's specific details. The SDK handles streaming the results from all those separate operations into your UI.

This Workable Alternative server touches candidate records, job postings, and recruiter profiles. Since you're using Vercel AI SDK for streaming responses, the data types are primarily text strings representing names, descriptions, and IDs.

Absolutely. Instead of manually updating records, you let your agent call tools like `create_candidate`. Your Vercel AI SDK client handles the streaming response, so you see confirmation or errors appearing instantly in your application.

The strength of this setup is that it streams results. For big lists, you don't wait for the whole thing; you see the first few items pop up immediately, improving user experience dramatically.

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