How to Use the Melo MCP in OpenAI Agents SDK
Connect Melo to OpenAI Agents SDK to pull live on-chain real estate data into your production agent workflows.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Melo MCP to OpenAI Agents SDK
Create your Vinkius account to connect Melo to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Real-time on-chain property intelligence
Your agent fetches current asset status directly from the ledger. It uses `get_property` and `get_onchain_metadata` to bypass stale records and verify ownership states in real time. This gives your agent an immediate, accurate view of any tokenized asset. No more guessing if a property is still active or if the metadata has been updated.
Automated market analysis with OpenAI Agents SDK
Trigger `get_market_insights` to feed your agent raw data on pricing trends. It processes these numbers to determine if a listing is priced fairly or if it's an outlier. Your agent builds its own logic based on this data. It doesn't just read the numbers; it acts on them by filtering results through `search_properties` based on your specific investment criteria.
Direct transaction history retrieval
Track every movement of an asset using `list_transactions` and `get_property_history`. Your agent builds a complete timeline of ownership changes and price adjustments without needing a manual audit. You'll see the full ledger footprint in your OpenAI Agents SDK logs. It's about having the audit trail automated so your agent can flag anomalies before you even look at the deal.
Set up Melo MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all Melo tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Melo tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Melo tools and returns structured results. Copy the full example on the right to get started.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse
async def main():
async with MCPServerSse(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as server:
agent = Agent(
name="Melo Agent",
instructions="You have access to Melo tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) 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 OpenAI Agents SDK
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