How to Use the Cobot MCP in Google ADK

Q: Can I restrict the Cobot tools exposed to Google ADK?

Yes, you can pass a toolnames filter when setting up your McpToolset. This ensures your agent can only run safe queries like listspaceresources and cannot modify bookings.

Connect Cobot to Google ADK to analyze coworking data and manage physical desks with Gemini.

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Connect Cobot MCP to Google ADK

Create your Vinkius account to connect Cobot 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 Cobot with Google ADK

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Enterprise space management with Google ADK

This MCP Server exposes `get_cobot_space_info` and `list_space_resources` to feed physical space metrics straight into Gemini. Your models can reason over months of booking history without hitting token limits. The framework builds a complete map of your real estate instantly.

Sync booking data directly with BigQuery

The `list_space_bookings` tool pulls live schedules directly into your Google Cloud pipeline. This MCP integration lets you run predictive models on desk usage. You can quickly see which membership plans are driving traffic by cross-referencing your data.

Automated billing reconciliation

Using `list_cobot_invoices` and `get_membership_details`, your agent can audit financial records via MCP. If a member has an overdue account, the system flags the record automatically. You get automated tracking with zero manual spreadsheet work.

Setup guide

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

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Common questions about Cobot MCP in Google ADK

Run pip install google-adk to get the framework. Next, initialize McpToolset with your unique server URL and pass it to your LlmAgent tools array.

Yes, the framework supports concurrent tool execution. This allows your agent to fetch `list_cobot_memberships` and `list_space_bookings` at the same time to speed up daily reports.

Yes, you can pass a tool_names filter when setting up your McpToolset. This ensures your agent can only run safe queries like `list_space_resources` and cannot modify bookings.

Gemini reads the tool descriptions provided by the MCP Server. When a user asks to book a room, the model automatically selects `create_new_booking` and populates the required arguments.

Your coworking space records never persist on our servers. All traffic is routed through encrypted ephemeral connections, keeping your sensitive member financial records completely private.

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