How to Use the AirMatch Pro MCP in OpenAI Agents SDK

Q: Can I run guardrails on AirMatch Pro proposal creation in OpenAI Agents SDK?

Yes, you can. The SDK intercepts calls to createproposal and runs them through your custom validation logic before the Vinkius MCP Server executes the database write.

Q: How does OpenAI Agents SDK handle tracing for AirMatch Pro tool calls?

Every tool execution like getlead or listjobs shows up directly in your OpenAI developer dashboard. You see the exact inputs, outputs, and latency for every single run.

Drive your production OpenAI Agents SDK workflows with live AirMatch Pro recruiting data.

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Connect AirMatch Pro MCP to OpenAI Agents SDK

Create your Vinkius account to connect AirMatch Pro 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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Setup AirMatch Pro with OpenAI Agents SDK

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Sync AirMatch Pro leads directly to OpenAI Agents SDK

Feed your pipeline data straight into your production agents. By calling `list_leads` and `get_lead`, your OpenAI Agents SDK setup pulls fresh prospect profiles directly from your recruiting stream. It bypasses manual data entry completely. This MCP Server lets your specialized agents hand off tasks instantly. One agent can fetch active profiles via `get_profile` while a separate safety-validated agent prepares the response, keeping your OpenAI dashboard tracing perfectly clean.

Build and track recruitment proposals safely

Draft new contracts without losing control over what your autonomous agents publish. Your agent calls `create_proposal` to draft agreements, while the SDK's built-in guardrails validate the terms before any external API calls execute. You can verify the status of these drafts instantly. The agent uses `get_proposal` and `list_proposals` to verify details, letting your team audit every generation right inside your OpenAI tracing dashboard.

Track job pipelines and estimates automatically

Keep your hiring team aligned on active search parameters. Your OpenAI Agents SDK setup queries active listings using `list_jobs` and `list_estimates` to map compensation data against open roles. This integration checks connections via `check_airmatch_status` before pulling customer lists with `list_customers`. It ensures your production system never hangs on a dead connection.

Setup guide

Set up AirMatch Pro 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

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

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 AirMatch Pro tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives AirMatch Pro tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate AirMatch Pro 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="AirMatch Pro Agent",
            instructions="You have access to AirMatch Pro tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about AirMatch Pro MCP in OpenAI Agents SDK

Install the SDK with pip, then initialize the MCP server using the streamable HTTP parameters pointing to Vinkius. Pass this server object into your Agent constructor to automatically discover all ten recruiting tools.

Yes, you can. The SDK intercepts calls to `create_proposal` and runs them through your custom validation logic before the Vinkius MCP Server executes the database write.

Every tool execution like `get_lead` or `list_jobs` shows up directly in your OpenAI developer dashboard. You see the exact inputs, outputs, and latency for every single run.

You can control tool access by restricting the agent's system prompt or using specialized handoff agents that only receive the specific tool definitions they need to run.

All lead records and draft proposals pass through Vinkius's zero-trust V8 sandbox without being stored. Your OpenAI Agents SDK setup communicates directly with the API, keeping candidate details private.

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