How to Use the Mainstay (AdmitHub) MCP in Google ADK

Q: Can I filter Mainstay (AdmitHub) tools in my Google ADK agent?

Yes, use the toolnames filter to restrict which functions your agent can access. This ensures your agent only uses the specific data it needs.

Google ADK agents now connect to Mainstay (AdmitHub) for enterprise-grade student engagement automation.

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Connect Mainstay (AdmitHub) MCP to Google ADK

Create your Vinkius account to connect Mainstay (AdmitHub) to Google ADK 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 Google ADK

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Sync student engagement with Google ADK

Your agent interacts with student communication records by calling `list_messages` to see what went out. It pairs this with `list_campaigns` to keep your outreach strategy aligned. This setup allows your agent to reason over long-term student engagement patterns. It is perfect for agents that need to cross-reference communication history with other cloud data.

Direct access to student contact lists

Query your student base efficiently using `list_contacts` via your agent's toolset. This brings your external data directly into the agent's workspace. You can then feed this data into your LLM to generate insights or perform batch operations. It cuts out the middleman between your database and your agent's reasoning process.

Inspect custom student metadata

Your agent discovers your unique student data structure by running `list_custom_fields`. It identifies which tags or categories are available for querying. This allows the agent to handle custom data points without needing hard-coded logic for every new field. It makes your agent more flexible as your data schema evolves.

Setup guide

Set up Mainstay (AdmitHub) MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Mainstay (AdmitHub) tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Mainstay (AdmitHub)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Mainstay (AdmitHub) tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Mainstay (AdmitHub) MCP in Google ADK

You configure the McpToolset with your server URL and pass it to your LlmAgent. The framework handles the transport, allowing your agent to call tools as native functions.

Yes. You can pull large volumes of message logs using these tools and feed them directly into high-token models for deep analysis.

Yes, use the tool_names filter to restrict which functions your agent can access. This ensures your agent only uses the specific data it needs.

Vinkius hosts the server in an isolated sandbox. Your data remains protected by ephemeral sessions and single-token authentication.

The server processes student contact information and behavioral metadata. This data is transmitted over encrypted channels directly to your agent instance.

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