How to Use the WorkAdventure MCP in Google ADK

Q: Can Google ADK help me manage users in WorkAdventure?

Absolutely. The agent uses createmember or deletemember tools to adjust the roster of people within WorkAdventure, acting on behalf of your enterprise process.

Q: If I need to change a variable in WorkAdventure, how do I do it with Google ADK?

Use updateroomvariable. This allows your agent to modify room context using data that might originate from BigQuery or Vertex AI, keeping everything synchronized within WorkAdventure.

Model enterprise virtual collaboration spaces with Google ADK integration on WorkAdventure.

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Connect WorkAdventure MCP to Google ADK

Create your Vinkius account to connect WorkAdventure 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 WorkAdventure with Google ADK

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Managing Virtual World Information

The `get_world_info` tool pulls the high-level status of the entire WorkAdventure environment. Your agent can use this data to determine if a global action is even possible. It also lets you see every active room using `list_rooms`. This gives your agent an overview of all operational areas, which helps in routing complex business processes.

Handling Member Presence

When a new team member joins the virtual office, use `create_member` to register their presence. If someone leaves or is moved, `delete_member` handles that cleanup. Checking who’s around remains straightforward; just run `list_members` for an immediate count of all participants in WorkAdventure.

Inspecting Specific Map Details

Need to know the rules or layout of a specific office area? The `get_map_details` tool pulls that precise information. This is critical for ensuring your agents don't try to move into an invalid zone. You can also get all possible locations by running `list_maps`, building a comprehensive view of WorkAdventure's geography.

Setup guide

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

Your agent connects to WorkAdventure via the MCP Server, treating it like another data source. You pass the toolset to your LlmAgent, and Gemini models use them for reasoning against enterprise context.

Absolutely. The agent uses `create_member` or `delete_member` tools to adjust the roster of people within WorkAdventure, acting on behalf of your enterprise process.

The server exposes member details, room variables, and world information. Your agent can pull all these specific operational metrics to inform its actions within the Google Cloud environment.

Use `update_room_variable`. This allows your agent to modify room context using data that might originate from BigQuery or Vertex AI, keeping everything synchronized within WorkAdventure.

The server provides structural data like map details, member lists, and room variables. Your agent gets access to the specific metrics required for operational decisions.

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