How to Use the Universities List MCP in Google ADK

Q: How do I connect Universities List with Google ADK?

You instantiate McpToolset and pass it as a tool to your LlmAgent. Because of native support, the connection feels like it was built into the framework itself.

Q: Can I filter the tools exposed in Google ADK?

Yes, you can use the optional toolnames filter when setting up your toolset. This is useful if you only want the agent to see specific functions like searchuniversities.

Enterprise Agents on Google Cloud: Connect Universities List with the Google ADK.

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Connect Universities List MCP to Google ADK

Create your Vinkius account to connect Universities List 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 Universities List with Google ADK

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Search by Name or Country

To find universities, you pass the MCP toolset to your LlmAgent. The agent invokes `search_universities`, letting it query global higher education records based on name or country. This is how you get structured data about institutions into your Google Cloud pipeline.

BigQuery Integration

The ADK supports native integration with BigQuery, meaning search results can immediately feed into your existing enterprise datasets. You don't have to export and import anything. Your agents act directly on data already housed within the Google Cloud ecosystem.

Long Context Reasoning

Gemini models handle long-context reasoning, which is crucial for complex searches. If a query requires multiple steps—like filtering results by country then linking them to a specific year—the agent holds that context. It's better than simple sequential calls because it remembers the whole conversation.

Setup guide

Set up Universities List 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 Universities List 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="Universities List_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Universities List tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Universities List. 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 Universities List MCP in Google ADK

You instantiate `McpToolset` and pass it as a tool to your LlmAgent. Because of native support, the connection feels like it was built into the framework itself.

The server manages university names and country identifiers. These two specific data points are what you will pass to or receive from `search_universities`.

Yes, you can use the optional `tool_names` filter when setting up your toolset. This is useful if you only want the agent to see specific functions like `search_universities`.

Absolutely. With Gemini's long-context window, your agents can hold 1M+ tokens of context. This allows for multi-step reasoning that simple API calls just can't manage.

Since you're building on Google Cloud, sending those results directly into BigQuery keeps everything centralized. You get instant access for further analysis without needing external staging.

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