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How to Use the Workable MCP in OpenAI Agents SDK

Build production hiring systems with the OpenAI Agents SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

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OpenAI Agents SDK

Connect Workable MCP to OpenAI Agents SDK

Create your Vinkius account to connect Workable to OpenAI Agents 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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Discover job listings using MCP Server tools.

The `list_jobs` tool lets your agent pull all active openings from Workable. It gives you a list of jobs that need filling, letting your AI client know exactly where to focus its efforts. You can also check out the full scope with `list_account_members`. Your agent uses this to identify who's on the hiring team so it knows who needs to approve next steps.

Manage candidate data in production agents.

`get_candidate_profile` pulls all the details for a specific applicant. This is key when your agent needs context, like seeing their full work history before recommending them. Need to track everyone? Use `list_all_candidates`. Your agent runs this tool to get a master list of every candidate across every job opening.

Registering new talent via the MCP Server.

When you find a great person, use the `create_candidate` tool. This lets your agent register a brand-new applicant record directly into Workable's system. It also handles setting up jobs with `get_job_details`. Your agent can pull job requirements and specifications to ensure new candidates match the role accurately.

Setup guide

Set up Workable MCP in OpenAI Agents SDK

Prerequisites

  • Python 3.10+ installed
  • openai-agents package (pip install openai-agents)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install the SDK

    Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.

  2. 2

    Connect via SSE transport

    Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Workable tools at runtime.

  3. 3

    Create your Agent

    Pass the MCP to Agent(mcp_servers=[server]). The agent receives Workable tools as native definitions — JSON schemas resolve automatically.

  4. 4

    Run the agent

    Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Workable tools and returns structured results. Copy the full example on the right to get started.

agent.py
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Workable Agent",
            instructions="You have access to Workable tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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.

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 OpenAI Agents SDK

You call `list_jobs`. This tool returns a complete inventory of every active job opening in your account. Your agent can then iterate through this data to find specific roles it needs to work with.
It exposes core hiring data like candidate records, job openings, and team member details. These are all structured via tools such as `get_candidate_profile` or `list_account_members`.
Yes. The agent uses specific tools, like `create_candidate`, to register new records. It manages the full flow of adding and tracking people through the system's tooling.
Absolutely. You use the `list_linked_accounts` tool to get a roster of every account linked to your organization. This is crucial for agents needing to manage permissions across multiple entities.
The server primarily handles job and candidate profile data. When you run tools, the agent interacts with structured information about jobs and individual candidates.

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