How to Use the WorkAdventure MCP in Vercel AI SDK

Q: How do I find out about WorkAdventure maps using Vercel AI SDK?

Call listmaps first to get all available options. Then, pass the map name to getmapdetails. Since you’re building a streaming UI with Vercel AI SDK, those details appear instantly when your agent finds them.

Q: Can I list members in WorkAdventure and display it using Vercel AI SDK?

Yep. You just call listmembers. The results flow directly into your frontend. This is great because the user sees the member roster update live as the data streams out of your MCP Server.

Q: What happens to data privacy when I use WorkAdventure and Vercel AI SDK?

This server touches member details and room variables. Your agent client handles the authentication, so you control how that information is accessed. You're responsible for ensuring your endpoint token only grants necessary read/write permissions.

Q: Does WorkAdventure support getting room variables with Vercel AI SDK?

Absolutely. Use getroomvariables. The data you pull—like meeting status or capacity—streams back to your application, letting users see the real-time state of any given room.

Real-time WorkAdventure integrations for Vercel AI SDK. Show users data appearing live in your UI.

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Connect WorkAdventure MCP to Vercel AI SDK

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

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Get Virtual World Details with Vercel AI SDK

Need to know about the office environment? The `get_map_details` tool pulls all necessary information on a specific map. You can instantly populate your UI with details like name or location when a user asks about it. This lets you build interactive maps. Your AI client fetches the data, and because of Vercel AI SDK's streaming capabilities, the results show up live in the Next.js frontend—no loading spinner needed.

Manage Users and Members via Vercel AI SDK

Want to track who’s in the office? Use `list_members` or `get_member_details` to pull out current user lists. Your agent can check which colleagues are present right now, making your application feel connected. When you call `delete_member`, for instance, the result streams back immediately. This means the UI updates in real-time as the member is removed from the virtual world.

Update Room Variables using Vercel AI SDK

Sometimes you gotta change something about the office setup. The `update_room_variable` tool lets your agent modify specific room data, like changing a meeting status or updating equipment availability. This mechanism is perfect for live dashboards. Your AI client executes the update and streams confirmation back to the user, making sure they see that the change took effect immediately.

Setup guide

Set up WorkAdventure 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 WorkAdventure 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 WorkAdventure 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 WorkAdventure. 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.

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Common questions about WorkAdventure MCP in Vercel AI SDK

Call `list_maps` first to get all available options. Then, pass the map name to `get_map_details`. Since you’re building a streaming UI with Vercel AI SDK, those details appear instantly when your agent finds them.

Yep. You just call `list_members`. The results flow directly into your frontend. This is great because the user sees the member roster update live as the data streams out of your MCP Server.

This server touches `member details` and `room variables`. Your agent client handles the authentication, so you control how that information is accessed. You're responsible for ensuring your endpoint token only grants necessary read/write permissions.

Absolutely. Use `get_room_variables`. The data you pull—like meeting status or capacity—streams back to your application, letting users see the real-time state of any given room.

The best part about using Vercel AI SDK is that data streams directly into your UI. It doesn't wait for a full response; you see the results appearing in real-time as your agent pulls them from the MCP Server.

Use it with your favorite AI tools

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