Bridge Data Output 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 Bridge Data Output 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 Bridge Data Output, 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 Bridge Data Output MCP Server
Connect your Bridge Interactive (Zillow Group) account to any AI agent and orchestrate your real estate research, listing analysis, and market data workflows through natural conversation.
The Vercel AI SDK gives every Bridge Data Output 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
- Listing Oversight — Browse thousands of real estate listings (properties) from various MLS datasets with advanced OData filtering.
- Property Deep Dives — Retrieve detailed metadata for specific properties, including physical characteristics and historical values.
- Directory Access — List real estate members (agents) and offices associated with specific datasets.
- Media Management — Access links to high-resolution photos, virtual tours, and media associated with property listings.
- Market Analysis — Search for properties by city, price range, or recent modifications to track market trends.
- Dataset Discovery — List all available data systems (MLSs) your application has access to.
The Bridge Data Output 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 Bridge Data Output to Vercel AI SDK via MCP
Follow these steps to integrate the Bridge Data Output 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 Bridge Data Output and passes them to the LLM
Why Use Vercel AI SDK with the Bridge Data Output MCP Server
Vercel AI SDK provides unique advantages when paired with Bridge Data Output 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 Bridge Data Output integration everywhere
Built-in streaming UI primitives let you display Bridge Data Output 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
Bridge Data Output + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Bridge Data Output MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Bridge Data Output in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Bridge Data Output tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Bridge Data Output capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Bridge Data Output through natural language queries
Bridge Data Output MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Bridge Data Output to Vercel AI SDK via MCP:
get_dataset_metadata
Get schema metadata for a specific dataset
get_property
Get details of a specific property
list_data_systems
List all available real estate data systems (MLSs)
list_media
List media (photos/videos) from a dataset
list_members
List real estate agents (members) from a dataset
list_offices
List real estate offices from a dataset
list_properties
List properties from a specific dataset
list_recent_listings
List the most recently modified properties
search_properties_by_city
Search for properties in a specific city
search_properties_by_price
Search for properties above a specific price
Example Prompts for Bridge Data Output in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Bridge Data Output immediately.
"List all real estate data systems I can access."
"Search for properties in Miami with a price over $1,000,000."
"Get details for property listing key 12345-6789."
Troubleshooting Bridge Data Output MCP Server with Vercel AI SDK
Common issues when connecting Bridge Data Output to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpBridge Data Output + Vercel AI SDK FAQ
Common questions about integrating Bridge Data Output 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 Bridge Data Output 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 Bridge Data Output to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.