How to Use the Workable MCP in Vercel AI SDK

Q: How can I search for job listings using Workable and Vercel AI SDK?

You call the listjobs tool. Your AI client pulls a list of all active openings from Workable, letting you display them immediately in your application's UI.

Q: Is it easy to get candidate profiles with Workable and Vercel AI SDK?

Yep. Use getcandidateprofile and your agent streams the specific details right into the user interface as soon as they are ready. It's super responsive.

Q: Can I check team members using Workable and Vercel AI SDK?

Sure thing. The listaccountmembers tool gives you a roster of everyone on the hiring team. This data streams directly, so your app doesn't feel sluggish.

Q: What kind of accounts can I list with Workable and Vercel AI SDK?

The listlinkedaccounts tool lets you see all the connected corporate accounts. It’s a quick way to pull context for your users without manual setup.

Stream AI results into your React UI with Vercel AI SDK.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Workable MCP to Vercel AI SDK

Create your Vinkius account to connect Workable 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.

GDPR Free for Subscribers

Setup Workable with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Track all candidate data in real time.

Your agent gets a full picture of the hiring pool. You can use `list_all_candidates` to pull a list of every applicant across multiple job openings. It’s fast, too. When your AI client streams the results, the user sees the data appear live in your UI—no loading spinners needed.

Find details on any specific job opening.

Need to know what a role requires? Just call `get_job_details` and get all the specs for a particular opening. This means you don't have to open ten tabs just to check requirements. Your front-end product can pass that data directly into components, making the whole experience feel native and fast.

Manage accounts and teams from one place.

You can see who's on the hiring team using `list_account_members`. This keeps everyone on the same page without emailing spreadsheets back and forth. Plus, checking out connected corporate info with `list_linked_accounts` lets your agent pull context from other systems.

Setup guide

Set up Workable 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 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 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 Workable. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Workable now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Workable MCP in Vercel AI SDK

You call the `list_jobs` tool. Your AI client pulls a list of all active openings from Workable, letting you display them immediately in your application's UI.

Yep. Use `get_candidate_profile` and your agent streams the specific details right into the user interface as soon as they are ready. It's super responsive.

Sure thing. The `list_account_members` tool gives you a roster of everyone on the hiring team. This data streams directly, so your app doesn't feel sluggish.

The `list_linked_accounts` tool lets you see all the connected corporate accounts. It’s a quick way to pull context for your users without manual setup.

This Workable MCP Server handles structured recruitment and talent pipeline data, including job openings and applicant profiles.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python