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 OpenAI Agents SDKGive OpenAI Agents 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 OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Workable through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Use with Your AI Agent

Ask AI about this App Connector for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Workable app connector for OpenAI Agents 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

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Workable Assistant",
            instructions=(
                "You help users interact with Workable. "
                "You have access to 7 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Workable"
        )
        print(result.final_output)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

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DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

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 OpenAI Agents SDK auto-discovers all 7 tools from Workable through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Workable, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents 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 OpenAI Agents SDK

When OpenAI Agents 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 OpenAI Agents SDK via MCP

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

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 7 tools from Workable

Why Use OpenAI Agents SDK with the Workable MCP Server

OpenAI Agents SDK provides unique advantages when paired with Workable through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Workable + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Workable MCP Server delivers measurable value.

Automated workflows: build agents that query Workable, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Workable, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Workable tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Workable to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Workable in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents 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 OpenAI Agents SDK

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

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Workable + OpenAI Agents SDK FAQ

Common questions about integrating Workable MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.