How to Use the Innform MCP in Google ADK

Q: How do I register the Innform MCP Server in my Google ADK project?

Initialize McpToolset with the Vinkius HTTP transport URL. Pass this toolset to your LlmAgent in Python, allowing Gemini to call tools like inviteuser and listgroups during execution.

Q: Is it possible to limit Google ADK access to sensitive Innform tools?

You can apply a toolnames filter when setting up your McpToolset. This restricts Gemini so it can only run safe queries like getuserdetails while blocking access to status-changing tools like freezeuser.

Drive enterprise training tracking and user provisioning in Innform using the Google ADK and Gemini.

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Connect Innform MCP to Google ADK

Create your Vinkius account to connect Innform 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 Innform with Google ADK

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Organize training tracks using the Google ADK

This MCP Server connects Gemini to your learning directories using `list_groups` and `list_users`. Your Gemini agent processes large directories in its million-token context window to map users to their correct training paths. When team structures shift, the agent uses `update_user` to align learner profiles with your corporate structure. You run this directly alongside your Google Cloud data pipelines to keep your HR systems in sync.

Track compliance with Google ADK agents

Your agent uses `list_overdue_assignments` to pinpoint exactly who is lagging behind on mandatory training. By linking this to Google Cloud infrastructure, the agent can cross-reference active employees before taking action. If a learner ignores repeated warnings, the agent executes `freeze_user` to suspend their learning account. Once they catch up, the agent calls `unfreeze_user` to restore their access, keeping your compliance rates high.

Merge Innform MCP Server data with BigQuery

Your Gemini agent queries `list_completed_assignments` and `get_user_details` to build analytical datasets. Because the Google ADK integrates with BigQuery, the agent can write these completion metrics directly to your data warehouse. This setup lets you run complex SQL queries on training progress alongside performance reviews. You get an automated reporting pipeline that links training completion directly to business outcomes.

Setup guide

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

Initialize `McpToolset` with the Vinkius HTTP transport URL. Pass this toolset to your `LlmAgent` in Python, allowing Gemini to call tools like `invite_user` and `list_groups` during execution.

Yes, Gemini leverages its long-context window to ingest raw outputs from `list_completed_assignments`. The agent can analyze months of training trends for thousands of users in a single run.

You can apply a `tool_names` filter when setting up your `McpToolset`. This restricts Gemini so it can only run safe queries like `get_user_details` while blocking access to status-changing tools like `freeze_user`.

The SDK supports both Stdio and HTTP transports to connect with Vinkius. If an API call to `list_users` fails, the ADK handles retries or passes the error back to Gemini for graceful recovery.

The MCP client queries user accounts and assignment logs through a single, secure endpoint token. Your actual API credentials reside safely within Google Cloud Secret Manager or the Vinkius vault, avoiding hardcoded keys in your codebase.

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