kvCORE 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 kvCORE through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
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 kvCORE, 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 kvCORE MCP Server
Connect your AI agent to kvCORE, the primary platform for real estate professionals to manage their entire business.
The Vercel AI SDK gives every kvCORE 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.
Key Features
- Lead Management — Search and audit lead profiles, update statuses, and add manual notes through natural language
- Listing Intelligence — Access active property listings and detailed metadata including features and pricing
- Marketing Visibility — List and monitor smart campaigns and automated marketing sequences
- Agent Workflow — Audit pending tasks, reminders, and recent lead activities to stay on top of follow-ups
- Profile Insights — Fetch agent profile data and high-level account configuration
Simple Setup
1. Subscribe to this server
2. Log in to kvCORE, go to Settings > API, and generate an API Key
3. Enter your key in the configuration panel
4. Start managing your real estate business via chat
The kvCORE 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 kvCORE to Vercel AI SDK via MCP
Follow these steps to integrate the kvCORE 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 kvCORE and passes them to the LLM
Why Use Vercel AI SDK with the kvCORE MCP Server
Vercel AI SDK provides unique advantages when paired with kvCORE 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 kvCORE integration everywhere
Built-in streaming UI primitives let you display kvCORE 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
kvCORE + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the kvCORE MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query kvCORE in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate kvCORE tools and return structured JSON responses to any frontend
Chatbots with tool use: embed kvCORE capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with kvCORE through natural language queries
kvCORE MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect kvCORE to Vercel AI SDK via MCP:
create_lead_note
Add a note to a lead profile
get_agent_profile
Get current agent information
get_lead_details
Get details for a specific lead
get_listing_details
Get metadata for a specific listing
list_agent_tasks
List pending tasks for the agent
list_lead_activity
List recent activity for a lead
list_marketing_campaigns
List all marketing campaigns
list_property_listings
List active property listings
search_kvcore_leads
Returns lead IDs and basic contact info. Search for leads in kvCORE
update_lead_info
g., status, phone). Provide data as a JSON string. Update an existing lead
Example Prompts for kvCORE in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with kvCORE immediately.
"Search for a lead named 'Alice' in my kvCORE"
"Show me details for the property at '123 Maple St'"
"List my tasks for today"
Troubleshooting kvCORE MCP Server with Vercel AI SDK
Common issues when connecting kvCORE to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpkvCORE + Vercel AI SDK FAQ
Common questions about integrating kvCORE 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 kvCORE 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 kvCORE to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.