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How to Use the Melo MCP in Google ADK

Use Melo with Google ADK to integrate on-chain real estate data into your Gemini-powered enterprise pipelines.

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Google ADK

Connect Melo MCP to Google ADK

Create your Vinkius account to connect Melo 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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Enterprise-grade property search via Google ADK

Hook your agent into the blockchain to query listings with `search_properties` and `list_neighborhoods`. You gain the ability to sort assets by location or price range instantly. This setup works perfectly with the long-context capabilities of Gemini. Your agent can digest large datasets from Melo to find hidden opportunities in your target markets.

Automated asset valuation with Google ADK

Use `get_market_insights` to feed valuation models directly into your Google Cloud workflows. Your agent pulls the latest data and compares it against your existing records. This removes the manual work of updating spreadsheets. The agent monitors for changes and alerts you when a property meets your specific ROI thresholds.

Transaction monitoring for complex portfolios

Use `list_transactions` and `list_property_collections` to group and track your entire portfolio. Your agent stays updated on every transfer as it hits the chain. This gives you a bird's-eye view of your assets. Your agent can cross-reference these collections against your BigQuery data to spot trends that others miss.

Setup guide

Set up Melo 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. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 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. 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. 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 Melo 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="Melo_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Melo 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 Melo. 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 Melo MCP in Google ADK

Use the `McpToolset` class to point your agent at the Melo server endpoint. You can filter tool names if you only want to expose specific functions to your agent.
Yes. The server provides a standard interface that connects to your existing Google Cloud environment. It allows your agents to act on blockchain data alongside your internal datasets.
The tools are built to handle high-volume lookups. By pairing them with Gemini's large context window, your agent can analyze massive property portfolios in a single pass.
You get full access to all 10 on-chain intelligence tools. This includes everything from `list_active_listings` to granular `get_property_history` queries.
Melo only interacts with public, on-chain information. No private data is transmitted, and the interaction is limited to the specific queries your agent performs.

Start using the Melo MCP today

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