Melo MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Melo through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Melo Assistant",
instructions=(
"You help users interact with Melo. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Melo"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Melo MCP Server
Connect your Melo account to any AI agent and take full control of your real estate intelligence and on-chain property data through natural conversation.
The OpenAI Agents SDK auto-discovers all 10 tools from Melo through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Melo, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Property Management — List all properties, search by address, and fetch detailed SKU metadata including on-chain IDs
- Market Insights — Access real-time AI-driven market trends and neighborhood analytics for specific locations
- Transaction Monitoring — Track property sales history and blockchain-native events securely
- Listing Oversight — Enumerate active property listings for sale or rent across different regions
- Portfolio Auditing — Retrieve historical data, price changes, and smart contract metadata for on-chain assets
The Melo MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Melo to OpenAI Agents SDK via MCP
Follow these steps to integrate the Melo MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Melo
Why Use OpenAI Agents SDK with the Melo MCP Server
OpenAI Agents SDK provides unique advantages when paired with Melo through the Model Context Protocol.
Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Melo + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Melo MCP Server delivers measurable value.
Automated workflows: build agents that query Melo, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Melo, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Melo tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Melo to resolve tickets, look up records, and update statuses without human intervention
Melo MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Melo to OpenAI Agents SDK via MCP:
get_market_insights
Get real estate market insights
get_onchain_metadata
Get on-chain metadata
get_property
Get details for a specific property
get_property_history
Get historical data for a property
list_active_listings
List all active property listings
list_neighborhoods
List neighborhoods in a city
list_properties
List real estate properties
list_property_collections
List curated property collections
list_transactions
List real estate transactions
search_properties
Search properties by term
Example Prompts for Melo in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Melo immediately.
"List all active properties in Austin, TX."
"Show market insights for Miami."
"Get transaction history for property ID 987."
Troubleshooting Melo MCP Server with OpenAI Agents SDK
Common issues when connecting Melo to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Melo + OpenAI Agents SDK FAQ
Common questions about integrating Melo MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Melo with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Melo to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.