How to Use the Senar.io MCP in Google ADK

Q: Can I limit the Senar.io tools exposed to Google ADK?

Yes. Don't worry about exposing everything; use the toolnames parameter in your McpToolset configuration to restrict the agent to specific tools like getprogress or listusers.

Q: How does Google ADK leverage Gemini's long context with Senar.io?

The agent can retrieve complete session histories using getactivitydata. It's built to feed this raw log data directly into Gemini's context window to identify subtle user errors.

Run enterprise-scale security drills by connecting your Google ADK agent directly to Senar.io simulator tools.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect Senar.io MCP to Google ADK

Create your Vinkius account to connect Senar.io to Google ADK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Setup Senar.io with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity Vinkius runs on Gemini

Gemini

Grok

Analyze massive simulator logs with Google ADK

Use Gemini's one-million token context window to process complete training histories. Your agent pulls massive event logs using `get_activity_data` and digests the entire dataset in a single run. By combining this with `get_user_sessions`, the agent identifies behavioral trends that shorter context windows miss. You get deep insights into how your operators handle complex security threats.

Map organizational training data via MCP Server

Keep your training rosters in sync with your cloud infrastructure database. The agent calls `list_users` and `get_user_details` to verify active accounts against your enterprise directory. If a gap is found, the agent uses `create_user_and_assign` to correct it instantly. This ensures every cloud administrator is assigned to the correct simulation track.

Feed real-world attack data into active collections

Turn BigQuery security alerts into active training scenarios. Your agent monitors real-world threat feeds, then uses `add_content` to update your active response collections via MCP. The agent verifies the updates by running `get_collection_details` and `list_collections`. This loop ensures your team trains against live, observed threats instead of outdated static playbooks.

Setup guide

Set up Senar.io 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 Senar.io 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="Senar.io_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Senar.io tools via MCP.",
    tools=mcp_tools,
)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Senar.io. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Senar.io now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Senar.io MCP in Google ADK

Install the library using pip install google-adk. Initialize the MCP toolset using McpToolset with your streamable HTTP parameters, and pass it directly to your LlmAgent.

Yes. Don't worry about exposing everything; use the tool_names parameter in your McpToolset configuration to restrict the agent to specific tools like `get_progress` or `list_users`.

The agent can retrieve complete session histories using `get_activity_data`. It's built to feed this raw log data directly into Gemini's context window to identify subtle user errors.

Yes, this setup supports both Stdio and HTTP transports, allowing you to run the connection locally or host it securely on Google Cloud.

All user details and training metrics are processed in transit. Our zero-trust V8 isolate sandbox ensures that sensitive user profiles never persist on external infrastructure.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript