How to Use the Mainstay (AdmitHub) MCP in AutoGen

Q: How do AutoGen agents divide tasks when querying Mainstay (AdmitHub)?

You assign tools like listcontacts to a discovery agent, while a separate analysis agent receives getcontactdetails. They pass the resulting data back and forth in their chat thread.

Q: Can AutoGen agents trigger SMS campaigns in Mainstay (AdmitHub) automatically?

No, the agents can only read campaign structures with listcampaigns and view logs. They cannot initiate or modify outbound text blasts.

Deploy AutoGen agents that debate and coordinate student outreach campaigns using this MCP Server for live Mainstay data.

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Connect Mainstay (AdmitHub) MCP to AutoGen

Create your Vinkius account to connect Mainstay (AdmitHub) to AutoGen 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 AutoGen

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Coordinate multi-agent campaigns

`list_campaigns` provides the baseline data that your planning agent and execution agent use to coordinate outreach. One agent reviews the active campaigns while another determines if a student fits the target criteria. They debate the timing and focus of the next nudge before executing any action. This collaborative loop ensures that your automated outreach aligns with institutional goals and student schedules.

Debate student support steps using message logs

`list_messages` feeds historical text records into the conversation between your support and compliance agents. The compliance agent checks the logs for potential issues while the support agent drafts a response. They negotiate the best tone and approach based on how the student replied to previous texts. This prevents robotic, repetitive messaging by forcing a consensus on the student's current sentiment.

Audit student profiles via the AutoGen MCP Server

`get_contact_details` pulls full student profiles so your agents can audit enrollment readiness. An advisor agent analyzes the academic fields while a financial agent checks the funding status. By running this through `list_custom_fields`, the agents know exactly which custom parameters to evaluate. They cross-reference this metadata to flag students who need immediate human intervention.

Setup guide

Set up Mainstay (AdmitHub) MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Mainstay (AdmitHub) tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Mainstay (AdmitHub)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Mainstay (AdmitHub) data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Mainstay (AdmitHub)_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Mainstay (AdmitHub) data")
    print(result.messages[-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Mainstay. 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 Mainstay (AdmitHub) MCP in AutoGen

You assign tools like `list_contacts` to a discovery agent, while a separate analysis agent receives `get_contact_details`. They pass the resulting data back and forth in their chat thread.

No, the agents can only read campaign structures with `list_campaigns` and view logs. They cannot initiate or modify outbound text blasts.

Use the MCP tool adapter to convert the server's tools. Pass the resulting tool list directly to your AssistantAgent constructor during initialization.

The server returns a structured error message. Your AutoGen agents will see this error in their conversation history and attempt to correct the parameter before retrying.

Data fetched from the server stays within your local runtime. The hosting environment acts purely as a secure proxy, enforcing transport layer security without logging the payload.

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