How to Use the Melo MCP in LlamaIndex

Q: How do I register the Melo MCP server in LlamaIndex?

Install llama-index-tools-mcp and instantiate the BasicMCPClient with the Melo server URL. Wrap it in a McpToolSpec to expose the 10 real estate tools directly to your LlamaIndex agent.

Q: Can LlamaIndex run semantic search over Melo market insights?

Yes. Your pipeline can call getmarketinsights to retrieve regional trends, convert the output into text nodes, and index them into a vector store for RAG-based market analysis.

Index Melo on-chain property data into LlamaIndex vector stores using this MCP Server.

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Connect Melo MCP to LlamaIndex

Create your Vinkius account to connect Melo to LlamaIndex 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 Melo with LlamaIndex

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Index Melo transaction data with LlamaIndex

`list_transactions` pulls live ledger history directly into your LlamaIndex documents for immediate indexing. This allows your RAG application to query past transactions using semantic search instead of raw database filters. Your agent uses `get_property_history` to build a localized knowledge base of ownership changes. By converting this raw data into vector embeddings, you can ask natural language questions about property ownership shifts.

Query on-chain metadata via RAG

`get_onchain_metadata` extracts smart contract fields that LlamaIndex parses into searchable metadata chunks. This structure prevents your LLM from hallucinating contract addresses or token standards when answering user queries. You combine these contract details with physical property data from `get_property` to create a unified index. This MCP Server ensures that your knowledge-augmented search is always grounded in verified ledger states.

Build structured real estate indexes

`list_property_collections` fetches curated portfolios that your pipeline indexes alongside active listings from `list_active_listings`. This combination gives your RAG system a complete view of both private collections and open market options. Users query these indexes using natural language to filter properties by neighborhood via `list_neighborhoods`. The system resolves these queries by matching semantic vectors against live on-chain assets.

Setup guide

Set up Melo MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Melo MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Melo tools.",
)
response = await agent.run("List recent Melo data")

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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 LlamaIndex

Install `llama-index-tools-mcp` and instantiate the `BasicMCPClient` with the Melo server URL. Wrap it in a `McpToolSpec` to expose the 10 real estate tools directly to your LlamaIndex agent.

Yes. Your pipeline can call `get_market_insights` to retrieve regional trends, convert the output into text nodes, and index them into a vector store for RAG-based market analysis.

Yes, LlamaIndex handles concurrent tool execution natively. You can use the `allowed_tools` filter to restrict your agent to specific Melo tools like `search_properties` to optimize heavy blockchain queries.

You don't have to choose. LlamaIndex allows you to build a unified index that merges local PDF appraisals with live on-chain records pulled via `get_property`.

Your indexing of tokenized real estate ledger records and property history occurs locally or within your private cloud. The Vinkius gateway acts as a secure, zero-trust conduit that never inspects or stores your indexed payloads.

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