How to Use the Aconex MCP in Vercel AI SDK

Q: Does Aconex allow bulk user invites in Vercel AI SDK?

You can loop through user lists and trigger inviteusertoproject for each one. The SDK handles the sequence so you can monitor progress in your console.

Q: How do I filter Aconex project lists in Vercel AI SDK?

Call listprojects and filter the returned array in your TypeScript code. You manage the view logic on the client side.

Connect your Vercel AI SDK interface to Aconex. Stream project data and user invites directly into your React or Next.js frontends.

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Connect Aconex MCP to Vercel AI SDK

Create your Vinkius account to connect Aconex 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 Aconex with Vercel AI SDK

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Stream Aconex project data to your UI

Feed live project metadata into your React components using `list_projects` and `get_project_logo`. Your users see the data arrive in real-time without blocking the main thread. This setup keeps your dashboard responsive. It avoids the latency spikes common with standard REST polling patterns.

Manage Aconex identities from your app

Trigger `create_user` and `invite_user_to_project` directly from your application logic. You keep the user in the flow without jumping to a separate browser tab. Everything happens over the Vercel AI SDK transport. You handle the execution status within your edge functions and update the UI state immediately.

Directory lookups for your AI client

Run `search_global_directory` or `search_project_directory` to populate search bars as the user types. The MCP Server returns the records to your agent for instant display. This creates a snappy interface for finding team members. It removes the friction of manual lookup tools.

Setup guide

Set up Aconex 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 Aconex 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 Aconex transactions",
});

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

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

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Common questions about Aconex MCP in Vercel AI SDK

Yes. The server connects via HTTP transport to your Vercel AI SDK environment. You just add the endpoint to your client configuration.

You can loop through user lists and trigger `invite_user_to_project` for each one. The SDK handles the sequence so you can monitor progress in your console.

Call `list_projects` and filter the returned array in your TypeScript code. You manage the view logic on the client side.

The server returns an error object to your agent. You should handle this in your catch block to notify the user.

Vinkius isolates your session in a sandbox. We only process the specific user identity tokens you provide for your project operations.

Use it with your favorite AI tools

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

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