How to Use the Melo MCP in Vercel AI SDK
Stream real-time on-chain property data directly into your Vercel AI SDK frontends. Melo delivers raw market intelligence to your users.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Melo MCP to Vercel AI SDK
Create your Vinkius account to connect Melo to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Live property data streaming
Feed your UI with live transaction data. Use `list_transactions` to push updates into your React components the moment they hit the chain. Your users won't stare at empty spinners. The data arrives as the agent fetches it, giving your interface an immediate, responsive feel.
On-chain asset verification
Verify property ownership without leaving your application. `get_onchain_metadata` pulls the source of truth directly from the smart contract. Stop relying on stale database caches. Your frontend now displays the exact state of the ledger for any tokenized asset.
Contextual market analysis
Build intelligent property dashboards that interpret trends. Call `get_market_insights` to visualize shifts in local real estate value. Your AI client processes these metrics to suggest investment opportunities. It turns raw ledger state into actionable intelligence for your users.
Set up Melo MCP in Vercel AI SDK
Prerequisites
- Node.js 18+ and a TypeScript project
-
ai+@modelcontextprotocol/sdkpackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install ai @modelcontextprotocol/sdkplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Create the Streamable HTTP transport
Use
StreamableHTTPClientTransportwith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Discover and use tools
Call
mcpClient.tools()to auto-discover all Melo tools. Pass them directly togenerateText()orstreamText()— no manual schema definitions needed. - 4
Works with any model provider
Swap
openai("gpt-4o")for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.
import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
const transport = new StreamableHTTPClientTransport(
new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);
const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "List recent Melo transactions",
});
console.log(text);
await mcpClient.close(); 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 Vercel AI SDK
Use it with your favorite AI tools
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Start using the Melo MCP today
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