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How to Use the Workable Alternative MCP in OpenAI Agents SDK

Manage recruiting pipelines and candidate records reliably using your 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 Alternative MCP to OpenAI Agents SDK

Create your Vinkius account to connect Workable Alternative 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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Automate Candidate Creation

Use `create_candidate` to instantly add new candidates into Workable. This works even if you're building a complex, multi-stage agent system that needs fresh records. It’s great for onboarding agents because they automatically discover the tool and can use it right away. You won't need to write boilerplate code just to manage basic profile entries.

Fetch Job Details Fast

Need specifics on an open position? Call `get_job` to pull all necessary job details for a given posting ID. This is perfect when your agent needs to cross-reference external data with internal requirements. Running this through the SDK ensures that any action taken, like checking out `list_jobs`, gets full tracing in the dashboard. You always know exactly what happened and why.

Review All Available Recruiters

Check who's on staff by using `list_recruiters`. This tool gives you a list of available recruiters, letting your agent assign tasks or find contacts. The SDK handles the connection reliably, so you don't worry about managing endpoints. You just pass the server to the Agent constructor and let it run.

Setup guide

Set up Workable Alternative 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 Alternative tools at runtime.

  3. 3

    Create your Agent

    Pass the MCP to Agent(mcp_servers=[server]). The agent receives Workable Alternative 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 Alternative 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 Alternative Agent",
            instructions="You have access to Workable Alternative 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 Alternative MCP in OpenAI Agents SDK

You call `list_jobs` directly through your agent. The tool retrieves all current job postings from the server, giving you a complete list of opportunities. Because this is built for production, it handles high volumes without issue.
You use `get_candidate` and pass the specific candidate's ID. Your agent retrieves all associated profile information, which is useful for review or updating records. It’s a simple call that provides immediate data context.
Yep. Since the Agent auto-discovers all available MCP tools, you can use anything from `list_candidates` to check hiring stages (`list_stages`). You don't have to pass a list of tool names manually; it just works.
Absolutely. The built-in guardrails validate every agent action before it runs, which is critical for safety. You're building a deployed product here, not some prototype.
This MCP Server touches Candidate and Job details. Your agent handles profile information—names, stages, and specific roles. The security model keeps the actions contained within your defined production context.

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