How to Use the BIM 360 Field MCP in Vercel AI SDK

Stream real-time construction data from BIM 360 Field directly into your Vercel AI SDK frontends.

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Connect BIM 360 Field MCP to Vercel AI SDK

Create your Vinkius account to connect BIM 360 Field 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.

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Setup BIM 360 Field with Vercel AI SDK

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Live project tracking in Vercel AI SDK

Feed live construction site status into your React components. Your app uses `list_projects` and `list_tasks` to push updates to the UI as they arrive. Users stop waiting for loading spinners. The data arrives via streamText and populates your dashboard instantly.

BIM 360 Field issue management

Trigger `list_issues` to show site problems on your custom interface. The server handles the connection so your code stays clean. Your interface renders the results from `list_issue_types` without extra boilerplate. It just works with your existing TypeScript setup.

Context-aware site checklists

Pull active checklists directly into your application state. Use `list_checklists` to grab requirements for any specific project phase. This MCP Server provides the raw data your frontend needs to build interactive forms. You define how the user interacts with the results.

Setup guide

Set up BIM 360 Field MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with 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 BIM 360 Field tools. Pass them directly to generateText() or streamText() — 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.

index.ts

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 BIM 360 Field transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by BIM 360 Field. 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.

Connect BIM 360 Field now

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 BIM 360 Field MCP in Vercel AI SDK

Install the necessary packages and initialize the client with your Vinkius endpoint. You then pass the tools into your streamText function to start fetching project data.

Yes. Since the data streams via the SDK, your components update the moment the tool returns the task list.

It does. The transport layer is compatible with edge runtimes for low-latency data fetching.

You handle filtering in your application code after the tool returns the list. The server provides the full set, and you display what matters.

Your project data, including issue logs and user lists, stays within the encrypted transport. Vinkius operates a zero-trust environment where only your authenticated client accesses the specific records.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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