How to Use the Clerk MCP in Google ADK
Run deep analysis on your Clerk user directory using Gemini and the Google ADK framework.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Clerk MCP to Google ADK
Create your Vinkius account to connect Clerk 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.
Run user directory queries inside Google ADK
`list_clerk_users` pulls your entire user directory into the Gemini long-context window for instant analysis. Your enterprise agent can cross-reference hundreds of user profiles against your BigQuery tables to identify sign-up trends. Using this MCP Server, your agent reads the directory state directly. It eliminates the need to export CSVs or write custom sync scripts to get user lists into your Google Cloud environment.
Monitor system health and active client devices
`get_auth_dashboard_summary` and `list_clerk_clients` let your agent track system health and device distribution. The agent checks these metrics to detect sudden spikes in new client registrations or system usage. You can feed this real-time telemetry into Vertex AI models for predictive scaling. Your agent handles the data retrieval, leaving your engineers free to focus on core infrastructure.
Manage B2B tenant structures with Gemini
`list_clerk_organizations` exposes your multi-tenant B2B structure to your Google ADK agent. The agent queries this tool to understand organization hierarchies, membership counts, and active domains. This setup enables automated tenant auditing. Your agent maps out organization structures and flags inactive workspaces without manual data mapping.
Set up Clerk MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(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 Clerk tools in your ADK agent.
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="Clerk_agent",
model="gemini-2.0-flash",
instruction="You have access to Clerk tools via MCP.",
tools=mcp_tools,
) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Clerk. 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 Clerk MCP in Google ADK
Use it with your favorite AI tools
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