How to Use the Credly MCP in Google ADK

Q: Does Google ADK support all ten Credly MCP tools?

Yes, the framework automatically maps every tool, from getorganizationinfo to listconnectedorganizations. You can also use the toolnames filter to expose only the specific endpoints your agent needs.

Feed Credly certification data directly into Gemini long-context models using the Google ADK.

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Connect Credly MCP to Google ADK

Create your Vinkius account to connect Credly 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 Credly with Google ADK

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Analyze company skills in Gemini using Google ADK

Load your entire certification history into Gemini's massive context window. The Google ADK uses `list_badge_skills` and `list_issued_badges` to pull every single verified skill your workforce possesses. This setup runs complex reasoning prompts over thousands of records. Gemini finds skills gaps or identifies which teams are ready for new projects based on actual badge data.

Audit issuers and org structures on GCP

Keep your corporate credentials secure by automating your audits. Using `list_authorized_issuers` and `list_org_members`, your Google ADK agent cross-references your active employee directory with your badge issuers. This MCP Server lets you run these checks on a schedule. You can pipe the results directly into BigQuery to build dashboard reports on who is authorized to represent your brand.

Deep-dive into specific badge templates

Inspect the exact requirements of any credential. The agent calls `get_template_details` and `get_badge_details` to extract the metadata, criteria, and design templates of your active offers. By linking this MCP Server to the Google ADK, your enterprise agents can automatically verify if a resume matches the exact standards of your internal certifications. It removes the guesswork from internal talent matching.

Setup guide

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

Initialize McpToolset with the Vinkius HTTP URL in your Python script. Pass this toolset directly to your LlmAgent to let Gemini call tools like `list_badge_templates` natively.

Yes, that is where this setup shines. Your agent can pull employee lists from BigQuery, then use `list_badge_recipients` to check if they have completed their required training.

Yes, the framework automatically maps every tool, from `get_organization_info` to `list_connected_organizations`. You can also use the tool_names filter to expose only the specific endpoints your agent needs.

You can restrict the exposed tools during McpToolset setup. By only passing `get_badge_details` and `list_badge_skills`, you ensure the agent cannot inspect organizational membership.

All traffic goes through secure, encrypted HTTP endpoints managed by Vinkius. Your member lists and badge templates are fetched on the fly and never stored in the V8 sandbox, maintaining strict enterprise data isolation.

Use it with your favorite AI tools

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