How to Use the SuperTokens MCP in Google ADK

Q: How do I manage user roles with SuperTokens using Google ADK?

You first define a new role or update an existing one via createorupdaterole. Then, use assignroletouser to apply that role to the target user ID. The agent handles the rest.

Q: Can I manage multiple tenants with SuperTokens using Google ADK?

Yes, you use createorupdatetenant to create the boundary and gettenant to read its details. This allows your agents to handle multi-client architecture reliably.

Q: Does SuperTokens support session management for Google ADK?

It does. You can start a login with signinuser, refresh an existing connection using refreshsession, or end it completely with removesession. This is key for reliable agent execution.

Q: What if I need to update user metadata in SuperTokens via Google ADK?

You use the updateusermetadata tool. It lets your agents change non-core data points associated with a user profile without affecting their login credentials or assigned roles.

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Connect SuperTokens MCP to Google ADK

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Setup SuperTokens with Google ADK

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Manage Core User Identity and Roles

Your agents interact with users using `get_user` to pull core details by ID. For advanced permissioning, you use `create_or_update_role` to define the ruleset. You can also check who has access right now by calling `list_roles`, giving your agent a full inventory of available permissions.

Handle Complex Account Relationships

This tool set manages how users relate to each other. You can join multiple accounts into one profile using `link_accounts`. If the relationship ends, you run `unlink_accounts`. For large-scale deployments, use `bulk_import_users` to populate user bases across different Google Cloud services.

Control Tenancy and Access Scope

When dealing with multiple business units, you need tenant control. Use `create_or_update_tenant` to establish a new isolated environment. Then, call `get_tenant` to validate the boundaries your agent is operating within. This ensures that even if an agent gets misconfigured, it's restricted to the intended data scope.

Setup guide

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

You first define a new role or update an existing one via `create_or_update_role`. Then, use `assign_role_to_user` to apply that role to the target user ID. The agent handles the rest.

The server manages core identity and organizational data, including roles, user IDs, and tenant metadata. This is critical for your agents to correctly structure queries against BigQuery.

Yes, you use `create_or_update_tenant` to create the boundary and `get_tenant` to read its details. This allows your agents to handle multi-client architecture reliably.

It does. You can start a login with `signin_user`, refresh an existing connection using `refresh_session`, or end it completely with `remove_session`. This is key for reliable agent execution.

You use the `update_user_metadata` tool. It lets your agents change non-core data points associated with a user profile without affecting their login credentials or assigned roles.

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