How do I find the shortcode for a specific job?

Use the `list_jobs` tool. It returns a list of all your openings, each with its unique shortcode required for more detailed queries or actions.

Can I add a new candidate directly to a job via AI?

Yes! Use the `create_candidate` action. Provide the job shortcode along with the candidate's name and email to register them in your Workable pipeline.

Is it possible to see the recruiter assigned to an account?

Absolutely. Run the `list_account_members` query to retrieve the directory of all users and recruiters in your instance, including their roles.

INSTANT PLUG AND PLAY

Workable MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 7 tools to Create Candidate, Get Candidate Profile, Get Job Details, and more

Name: Workable
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 7 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Workable through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Use with Your AI Agent

Ask AI about this App Connector for Vercel AI SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Workable app connector for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 7 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

typescript

import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Workable, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Workable MCP Server

Connect your Workable recruiting account to any AI agent and simplify how you manage your hiring pipelines, track candidates, and coordinate with your team through natural conversation.

The Vercel AI SDK gives every Workable tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 7 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

What you can do

Job Management — List all active and archived job openings and retrieve detailed job descriptions and requirements.
Candidate Tracking — List and inspect candidates across all jobs, and drill down into specific profiles for experience and status.
Direct Sourcing — Programmatically register new candidates to specific job openings to accelerate your hiring process.
Team Coordination — List account members and recruiters to understand your hiring team structure.
Ecosystem Overview — List linked accounts and verify your Workable instance configuration via AI.

The Workable MCP Server exposes 7 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 7 Workable tools available for Vercel AI SDK

When Vercel AI SDK connects to Workable through Vinkius, your AI agent gets direct access to every tool listed below — spanning applicant-tracking, hiring-workflow, candidate-screening, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_candidate

get_candidate_profile

Get details for a specific candidate

get_job_details

Get details for a specific job

list_account_members

List hiring team members

list_all_candidates

List candidates across all jobs

list_jobs

List active job openings

list_linked_accounts

List connected accounts

Connect Workable to Vercel AI SDK via MCP

Follow these steps to wire Workable into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the script

Save to agent.ts and run with npx tsx agent.ts

Explore tools

The SDK discovers 7 tools from Workable and passes them to the LLM

Why Use Vercel AI SDK with the Workable MCP Server

Vercel AI SDK provides unique advantages when paired with Workable through the Model Context Protocol.

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Workable integration everywhere

Built-in streaming UI primitives let you display Workable tool results progressively in React, Svelte, or Vue components

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Workable + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Workable MCP Server delivers measurable value.

AI-powered web apps: build dashboards that query Workable in real-time and stream results to the UI with zero loading states

API backends: create serverless endpoints that orchestrate Workable tools and return structured JSON responses to any frontend

Chatbots with tool use: embed Workable capabilities into conversational interfaces with streaming responses and tool call visibility

Internal tools: build admin panels where team members interact with Workable through natural language queries

Example Prompts for Workable in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Workable immediately.

"List all active job openings in our Workable account."

"Show me the details for the candidate 'John Smith'."

"Add 'Jane Doe' (jane.doe@example.com) as a candidate for the job 'ENG-101'."

Troubleshooting Workable MCP Server with Vercel AI SDK

Common issues when connecting Workable to Vercel AI SDK through the Vinkius, and how to resolve them.

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Workable + Vercel AI SDK FAQ

Common questions about integrating Workable MCP Server with Vercel AI SDK.

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.