Melo MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Melo through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Melo, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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 Vercel AI SDK gives every Melo tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI 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 Vercel AI SDK via MCP
Follow these steps to integrate the Melo MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Melo and passes them to the LLM
Why Use Vercel AI SDK with the Melo MCP Server
Vercel AI SDK provides unique advantages when paired with Melo through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Melo integration everywhere
Built-in streaming UI primitives let you display Melo tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Melo + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Melo MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Melo in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Melo tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Melo capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Melo through natural language queries
Melo MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Melo to Vercel AI 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI 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 Vercel AI SDK
Common issues when connecting Melo to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpMelo + Vercel AI SDK FAQ
Common questions about integrating Melo MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.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 Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.