How to Use the FusionAuth (Enterprise Identity & Auth) MCP in Google ADK

Q: How do I limit which tools Google ADK can run on FusionAuth (Enterprise Identity & Auth)?

Use the toolnames filter in the toolset configuration. You can expose only read-only tools like getuser and listapplications, completely blocking access to destructive tools like deletetenant.

Q: How does this server protect MFA secrets and API keys?

All transit data, including MFA secrets generated by generatemfasecret and API keys, is encrypted end-to-end by the MCP bridge. The connection runs in a secure, isolated sandbox that discards all session memory immediately after the tool execution completes.

Connect Google ADK with FusionAuth to run massive identity operations directly from your enterprise data pipelines.

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Connect FusionAuth (Enterprise Identity & Auth) MCP to Google ADK

Create your Vinkius account to connect FusionAuth (Enterprise Identity & Auth) 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 FusionAuth (Enterprise Identity & Auth) with Google ADK

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Sync BigQuery Data to FusionAuth with Google ADK

Your Gemini agent reads customer records directly from BigQuery and runs `create_user` to provision them instantly. It uses `register_user` to assign them to their target applications in real time. This MCP Server bridges your Google Cloud data directly to your identity store. The agent can analyze usage patterns in Vertex AI and automatically call `add_group_member` or `remove_group_member` to adjust user permissions based on their actual billing tier.

Automate Complex Migrations

Moving thousands of users across tenants is risky, but your agent simplifies this by executing `create_tenant` and looping through `create_user` calls. The agent keeps track of the entire migration state through its massive context window. Checking progress is straightforward because the agent calls `get_system_status` and `get_system_health` to verify the identity server isn't overloaded. If it detects rate limits, it pauses the migration, keeping your production authentication cluster stable.

AI-Driven Identity Auditing

Your Google ADK agent uses this MCP Server to run `list_applications` and `list_identity_providers` to map your entire external auth surface area. It compares this map against your cloud security policies to find gaps. The agent can inspect system configurations with `get_system_configuration` to ensure MFA is enforced across the board. If it finds a loophole, it alerts your team or calls `update_system_configuration` to patch the vulnerability instantly.

Setup guide

Set up FusionAuth (Enterprise Identity & Auth) 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 FusionAuth (Enterprise Identity & Auth) 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="FusionAuth (Enterprise Identity & Auth)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to FusionAuth (Enterprise Identity & Auth) 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 FusionAuth. 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 FusionAuth (Enterprise Identity & Auth) MCP in Google ADK

Yes. Your agent reads the source data from BigQuery, maps the fields, and calls `create_user` and `register_user` to provision them. The Gemini model handles the schema mapping automatically.

Use the `tool_names` filter in the toolset configuration. You can expose only read-only tools like `get_user` and `list_applications`, completely blocking access to destructive tools like `delete_tenant`.

Absolutely. The agent can hold your entire system configuration, application list, and tenant structures in its context window. This lets it make smart decisions when calling `update_system_configuration` without losing track of dependencies.

Yes. The toolset supports both transport protocols. For cloud run or Kubernetes environments, we recommend the streamable HTTP transport to connect your agent to the managed server with a single token.

All transit data, including MFA secrets generated by `generate_mfa_secret` and API keys, is encrypted end-to-end by the MCP bridge. The connection runs in a secure, isolated sandbox that discards all session memory immediately after the tool execution completes.

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