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.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up Melo 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 Melo 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="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.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Melo MCP in Google ADK
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