How to Use the Robin MCP in Google ADK
Connect Gemini models to your office layout using Google ADK to analyze space usage and automate bookings.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Robin MCP to Google ADK
Create your Vinkius account to connect Robin to Google ADK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Key Capabilities
Enterprise space coordination with Google ADK
Give your Gemini agents the ability to map physical offices by calling `list_locations` to map out your corporate real estate. By loading this MCP Server into your toolset, the model uses `list_locations` to map out your corporate real estate. It pairs this with BigQuery data to analyze which offices are seeing the most foot traffic. When an employee needs a workspace, the agent runs `list_desks` to find what is open at that specific site. It then triggers `reserve_desk` to lock in the spot, keeping your physical workspace aligned with digital schedules.
Long-context meeting scheduling
Gemini's million-token context window lets you feed months of meeting data into the agent, using `list_space_events` to pull historical room usage. This allows the model to find patterns in how your teams collaborate. It can then recommend optimal times for recurring syncs. To book a room, the agent checks availability with `get_free_busy` across several candidate spaces. Once it finds a match, it calls `book_space` to finalize the calendar invite, handling the entire process inside your enterprise pipeline.
Granular resource management via MCP
Your agent can inspect specific room capabilities before making a decision by calling `get_space` to pull details like seating capacity and AV setup. This ensures your team does not end up in a phone booth for a ten-person board meeting. If a project gets pushed, the agent uses `cancel_desk_reservation` to release the desk back to the shared pool. This keeps your hot-desking system accurate and prevents real estate waste without requiring manual cleanup from facilities teams.
Set up Robin 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 Robin 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="Robin_agent",
model="gemini-2.0-flash",
instruction="You have access to Robin 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 Robin Workspace API. 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 Robin MCP in Google ADK
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