How to Use the Degreed MCP in Google ADK

Q: Can I combine Degreed data with BigQuery using Google ADK?

Yes. Your Google ADK agent can fetch user profiles via getuserprofile and load that structured data directly into BigQuery tables for advanced analytics.

Q: Can I restrict Google ADK to only search the Degreed MCP catalog?

Yes, you can pass a list of allowed tools to the toolnames filter in the toolset. For instance, you can limit the agent to searchlearningcatalog and getcontentdetails while blocking user-specific endpoints.

Feed Degreed skill taxonomies and learning plans directly to Google ADK and Gemini.

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Connect Degreed MCP to Google ADK

Create your Vinkius account to connect Degreed 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 Degreed with Google ADK

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Long-context learning analysis using Google ADK

Gemini's million-token window lets you pull massive learning histories into a single prompt. Your Google ADK agent can call `list_user_completions` and `get_user_profile` for entire departments at once. The agent then maps these completions against your enterprise skills database to find training gaps. By running this through the Google ADK, you can combine Degreed records with your internal HR databases. The agent cross-references the live tool outputs with historical data to generate highly personalized training paths.

BigQuery integration with the Degreed MCP Server

Connect your enterprise learning data to your Google Cloud data warehouse. The Google ADK agent pulls course metadata using `list_learning_content` and `get_content_details`, then formats it for BigQuery ingestion. This allows your team to run SQL queries on live catalog offerings alongside your business metrics. Using this MCP Server setup, the agent can also query `list_learning_pathways` to update your internal dashboards. This keeps your Google Cloud analytical pipelines in sync with active learning initiatives without manual CSV exports.

Automated skill mapping for Google Cloud teams

Keep your technical teams aligned with organizational goals. The Google ADK agent uses `list_defined_skills` to pull the standardized taxonomy, then runs `search_learning_catalog` to find courses that match specific technical competencies. You can restrict which tools the agent has access to by setting the tool names filter in the toolset. This ensures your Gemini agent can use the MCP tools to search for content but cannot read sensitive user data like `list_degreed_users` unless explicitly allowed.

Setup guide

Set up Degreed 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 Degreed 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="Degreed_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Degreed 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 Degreed. 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 Degreed MCP in Google ADK

Install the google-adk package and initialize the toolset with your Vinkius HTTP URL. Pass this toolset to your agent to expose the Degreed tools directly to your Gemini model.

Yes. Your Google ADK agent can fetch user profiles via get_user_profile and load that structured data directly into BigQuery tables for advanced analytics.

The SDK uses Gemini's long-context window to analyze thousands of items returned by list_learning_content. The agent can process entire pathways from list_learning_pathways without hitting token limits.

Yes, you can pass a list of allowed tools to the tool_names filter in the toolset. For instance, you can limit the agent to search_learning_catalog and get_content_details while blocking user-specific endpoints.

All user profiles and skill ratings are fetched through Vinkius's secure, ephemeral V8 isolates. The authentication tokens are managed securely on the platform, meaning your Google ADK client never exposes credentials to Gemini prompts.

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