How to Use the College Scorecard API MCP in Google ADK

Q: How do I connect the College Scorecard API to Gemini using the Google ADK?

Use McpToolset with your Vinkius HTTP URL and pass it to the LlmAgent tool list. The ADK handles the transport layer and exposes tools like getcollegedetails natively.

Q: Can I combine these academic search tools with BigQuery data?

Absolutely. You can feed the output of getfieldsofstudy directly into your BigQuery analytical pipelines using standard Google Cloud SDKs.

Connect Gemini's million-token context to the College Scorecard API using the Google ADK for deep institutional analysis.

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Connect College Scorecard API MCP to Google ADK

Create your Vinkius account to connect College Scorecard API 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 College Scorecard API with Google ADK

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Mass geographic analysis with Google ADK

Gemini's massive context window is perfect for digesting large regional datasets. This MCP Server lets your Google Cloud agents call `list_colleges_by_state` and `list_colleges_by_zip` to pull hundreds of school records into a single prompt. You can cross-reference these geographic datasets with your existing tables in BigQuery. The ADK handles the plumbing, allowing your model to compare regional tuition averages against your internal financial benchmarks.

Granular program tracking inside the Gemini ecosystem

Getting accurate data on specific degrees is simple when your agent uses `get_fields_of_study`. This tool feeds real-world salary and debt metrics directly to your Google ADK pipelines. Instead of guessing which majors pay off, your agent gets access to verified Department of Education metrics. You can restrict which tools Gemini can see using the ADK tool_names filter to keep your agent focused on specific academic data.

Target specific universities with precise search tools

Finding and auditing a school is a two-step process using `search_colleges` and `get_college_details`. The Google ADK translates these MCP tools into native functions that your Gemini models can call during complex reasoning chains. You get exact matches on tuition, admission rates, and student demographics. The ADK's built-in tracing lets you monitor exactly how the model navigates the API to retrieve these details.

Setup guide

Set up College Scorecard API 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 College Scorecard API 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="College Scorecard API_agent",
    model="gemini-2.0-flash",
    instruction="You have access to College Scorecard API 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 College Scorecard. 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 College Scorecard API MCP in Google ADK

Use `McpToolset` with your Vinkius HTTP URL and pass it to the `LlmAgent` tool list. The ADK handles the transport layer and exposes tools like `get_college_details` natively.

Yes, you can pass a list of allowed tool names to the toolset configuration. This prevents the Gemini model from calling tools like `list_colleges_by_zip` if you only want it searching by state.

Yes, the ADK supports both transport methods. Since Vinkius hosts the MCP Server, you will use the Streamable HTTP transport with your secure endpoint token.

Absolutely. You can feed the output of `get_fields_of_study` directly into your BigQuery analytical pipelines using standard Google Cloud SDKs.

No data is saved on the Vinkius infrastructure. The MCP Server processes US college performance and cost data on ephemeral V8 isolates, ensuring search strings and institution IDs disappear instantly.

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