How to Use the Decentraland (Virtual World Content API) MCP in Google ADK

Q: How does Google ADK connect to the Decentraland (Virtual World Content API)?

You register the MCP Server using McpToolset with the HTTP transport parameters. The ADK exposes the tools to your Gemini model, allowing direct execution of virtual world queries.

Q: How does the agent track active events?

Your agent invokes listevents to pull upcoming schedules. It can then cross-reference these events with listplaces to verify where the gatherings are happening.

Query Decentraland (Virtual World Content API) directly from your Google ADK pipelines using this high-performance MCP Server.

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Connect Decentraland (Virtual World Content API) MCP to Google ADK

Create your Vinkius account to connect Decentraland (Virtual World Content API) 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 Decentraland (Virtual World Content API) with Google ADK

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Live Realm Analytics via Google ADK

The `get_realms` tool fetches live server loads and performance data directly into your Gemini agent context. This lets Google's long-context models analyze connection health across all active catalyst nodes simultaneously. Your enterprise pipeline combines this data with `get_catalyst_about` to check server configurations. It identifies degraded nodes before routing virtual world traffic, keeping your infrastructure assessments grounded in real-time metrics.

Spatial Search with an MCP Server

The `list_places` tool returns filtered coordinate data based on current popularity and keyword searches. Your agent parses these locations to map out Genesis City's active zones directly inside your cloud database. By linking this tool with `list_destinations`, the model builds complete travel directories of both public spaces and private worlds. This architecture lets you run large-scale spatial queries without building a custom index database.

Marketplace Trend Tracking

The `get_marketplace_items` tool pulls trading histories and metadata for specific virtual assets. Your Gemini agent ingests these transaction lists to feed BigQuery datasets for predictive valuation modeling. You filter the catalog using `get_marketplace_catalog` to discover high-volume wearables. This approach keeps your asset tracking pipelines synchronized with actual on-chain marketplace activity.

Setup guide

Set up Decentraland (Virtual World Content API) 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 Decentraland (Virtual World Content API) 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="Decentraland (Virtual World Content API)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Decentraland (Virtual World Content API) tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Decentraland (Virtual World Content API) MCP in Google ADK

You register the MCP Server using `McpToolset` with the HTTP transport parameters. The ADK exposes the tools to your Gemini model, allowing direct execution of virtual world queries.

Yes. The ADK handles concurrent tool execution, letting your agent fetch `get_hot_scenes` and `get_parcel_stats` simultaneously to accelerate spatial analysis.

Use the ADK's tool names filter parameter during MCP Server initialization. This restricts your Gemini agent to safe, read-only tools like `list_events`.

Your agent invokes `list_events` to pull upcoming schedules. It can then cross-reference these events with `list_places` to verify where the gatherings are happening.

All event attendance query parameters are processed in zero-trust memory buffers that wipe immediately after execution. Your personal attendance records are never cached, logged, or exposed to Google Cloud's training datasets.

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