How to Use the CATS ATS MCP in OpenAI Agents SDK
Connect CATS ATS to your OpenAI Agents SDK system. Build production recruitment agents with strict guardrails and full execution tracing.
Works with every AI agent you already use
…and any MCP-compatible client
Connect CATS ATS MCP to OpenAI Agents SDK
Create your Vinkius account to connect CATS ATS 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.
Parse resumes and match jobs with OpenAI Agents SDK
Your multi-agent system needs access to real applicant data, not mockups. Dropping the CATS ATS MCP Server into your configuration exposes live recruitment records instantly. The primary agent can run `search_candidates` to find specific skill matches while a specialized compliance agent checks the output. Handoffs work perfectly here. One agent queries `list_job_orders` to find open reqs, then transfers control to a sourcing agent that pulls detailed histories using `get_candidate_details`. OpenAI's tracing dashboard logs every single API call, so you know exactly which records your agents touched.
Track recruiter actions safely
Production systems require strict boundaries. You do not want a rogue agent hallucinating interview notes. By setting up explicit guardrails in your OpenAI MCP Server configuration, you control exactly how your system interacts with `list_recruitment_activities`. The agents read the exact notes left by human recruiters. They pull contact data via `list_recruitment_contacts` and summarize recent touchpoints. If an agent tries to invent a missing phone number, the guardrails catch it before the user ever sees the output.
Map client companies automatically
Agency recruiters juggle dozens of client accounts. Your custom agent can map these relationships by calling `list_recruitment_companies` directly from the ATS database. It pulls the raw firmographic data into the agent's context window. Because you pass the server directly to the Agent constructor, tool discovery happens without writing custom wrappers. The system immediately knows how to fetch specific role requirements using `get_job_details` and bind them to the correct client profile.
Set up CATS ATS MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all CATS ATS tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives CATS ATS tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate CATS ATS tools and returns structured results. Copy the full example on the right to get started.
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="CATS ATS Agent",
instructions="You have access to CATS ATS 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 CATS ATS. 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.
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Common questions about CATS ATS MCP in OpenAI Agents SDK
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