NCREIF Custom Query MCP Server for Vercel AI SDK 3 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect NCREIF Custom Query 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 NCREIF Custom Query, 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 NCREIF Custom Query MCP Server
Empower your AI agents with institutional real estate intelligence. This server provides programmatic access to the NCREIF Query Tool API, allowing for deep analysis of the NCREIF Property Index (NPI), Fund Index (ODCE), and specialized timberland/farmland data.
The Vercel AI SDK gives every NCREIF Custom Query tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 3 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
- Custom Analytics — Execute SQL-like queries to calculate income returns, appreciation, and total returns
- Index Monitoring — Access historical and real-time performance data for major US real estate indices
- Predefined KPIs — Quickly retrieve key metrics like Cap Rates and Occupancy percentages
- Granular Filtering — Filter by property type, region, CBSA, and more using powerful where clauses
The NCREIF Custom Query MCP Server exposes 3 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 NCREIF Custom Query to Vercel AI SDK via MCP
Follow these steps to integrate the NCREIF Custom Query 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 3 tools from NCREIF Custom Query and passes them to the LLM
Why Use Vercel AI SDK with the NCREIF Custom Query MCP Server
Vercel AI SDK provides unique advantages when paired with NCREIF Custom Query 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 NCREIF Custom Query integration everywhere
Built-in streaming UI primitives let you display NCREIF Custom Query 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
NCREIF Custom Query + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the NCREIF Custom Query MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query NCREIF Custom Query in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate NCREIF Custom Query tools and return structured JSON responses to any frontend
Chatbots with tool use: embed NCREIF Custom Query capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with NCREIF Custom Query through natural language queries
NCREIF Custom Query MCP Tools for Vercel AI SDK (3)
These 3 tools become available when you connect NCREIF Custom Query to Vercel AI SDK via MCP:
execute_query
Execute a custom NCREIF query
get_historical_npi
Get historical NPI returns
get_predefined_kpi
Get predefined KPI data
Example Prompts for NCREIF Custom Query in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with NCREIF Custom Query immediately.
"Show NPI total returns for the last 4 quarters."
Troubleshooting NCREIF Custom Query MCP Server with Vercel AI SDK
Common issues when connecting NCREIF Custom Query to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpNCREIF Custom Query + Vercel AI SDK FAQ
Common questions about integrating NCREIF Custom Query 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 NCREIF Custom Query 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 NCREIF Custom Query to Vercel AI SDK
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.