How to Use the Mainstay (AdmitHub) MCP in OpenAI Agents SDK

Bring your OpenAI Agents SDK projects to life with real-time student engagement data from Mainstay (AdmitHub).

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Connect Mainstay (AdmitHub) MCP to OpenAI Agents SDK

Create your Vinkius account to connect Mainstay (AdmitHub) 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 Mainstay (AdmitHub) with OpenAI Agents SDK

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Automate student outreach tracking

Your agent pulls real-time engagement data directly from your campaigns. It uses `list_campaigns` to identify active initiatives and `list_messages` to audit communication history. This keeps your agent informed on what messages were sent and when. It ensures your production system tracks student interactions without manual oversight.

Retrieve granular student profiles

Get deep visibility into specific student cohorts by querying their records. The agent calls `get_contact_details` to pull relevant metadata for targeted follow-ups. This workflow allows your agent to personalize responses based on the individual student's history. It turns raw database records into actionable context for your agent's decision logic.

Dynamic metadata mapping

Stop guessing what student data is available in your system. Your agent uses `list_custom_fields` to discover exactly what metadata categories you have defined. Once the agent knows the field structure, it can pull accurate information using `list_contacts`. This ensures your agent always requests the correct variables during its execution cycle.

Setup guide

Set up Mainstay (AdmitHub) 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 Mainstay (AdmitHub) tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Mainstay (AdmitHub) 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="Mainstay (AdmitHub) Agent",
            instructions="You have access to Mainstay (AdmitHub) 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 Mainstay (AdmitHub) MCP in OpenAI Agents SDK

Use the MCPServerStreamableHttp class within your project. Pass the server endpoint directly into your agent's configuration to enable automatic tool discovery.

Absolutely. Since the agent auto-discovers these tools, you can implement guardrails within your agent definition to validate the output of every tool call before it hits your database.

Yes. The server is built to handle asynchronous requests, allowing your agent to query contacts and campaign data without blocking your main execution loop.

Vinkius manages all authentication for you. You only need to provide the endpoint token, keeping your sensitive keys out of your codebase.

The server provides read access to contact lists, campaign logs, and message history. It never exposes your raw credentials or private infrastructure settings.

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