How to Use the Kisi MCP in Google ADK
Run enterprise facility management and physical security audits from Google ADK using real-time building data.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Kisi MCP to Google ADK
Create your Vinkius account to connect Kisi 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.
BigQuery Auditing with Google ADK and Kisi
Retrieving permissions with `list_role_assignments` pulls the active authorization of every user in your physical organization. By combining this MCP Server with the Google ADK, your Gemini agent can export live authorization tables directly into BigQuery for instant compliance mapping. The agent then calls `list_access_groups` to match these roles against your physical security groups. This lets your Google ADK pipeline identify permission drift by comparing Vertex AI data with actual physical lock permissions.
Multi-Site Facility Mapping via Google ADK
The `list_places` tool fetches all physical locations registered to your enterprise account. When your Gemini-powered agent runs this tool inside the Google ADK, it processes the geographic layout of your offices, allowing you to run cross-site analysis. Drilling down further, the agent calls `get_place_details` for each site to extract specific configuration parameters. It maps these details against the hardware locks returned by `list_locks` to build a complete inventory of your physical security assets inside your Google Cloud console.
Direct Hardware Control and Lock Monitoring
Sending an immediate signal via `unlock_door` opens a designated physical lock. Using this within the MCP context allows you to build automated entry workflows that run alongside your Google ADK pipelines. To ensure safety, the Gemini agent runs `get_lock_details` immediately after the command to verify the physical state of the bolt. This dual-action loop confirms whether the door is open, closed, or experiencing a hardware malfunction before reporting back to your Google ADK console.
Set up Kisi 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 Kisi 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="Kisi_agent",
model="gemini-2.0-flash",
instruction="You have access to Kisi 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 Kisi. 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 Kisi MCP in Google ADK
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