How to Use the Howspace MCP in Vercel AI SDK

Q: Can I list Howspace participants using Vercel AI SDK?

Yes, just invoke the listparticipants tool in your agent logic. It returns the current list of users for any specific workspace ID you provide.

Stream live Howspace workshop data directly into your React or Next.js UI using Vercel AI SDK.

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Connect Howspace MCP to Vercel AI SDK

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

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Real-time workspace data streaming

Pipe workspace details straight into your frontend components. Use `get_workspace` to pull live session info that renders as soon as the data arrives. Your users won't see loading spinners anymore. The SDK handles the heavy lifting while you focus on the UI state for your collaborative learning dashboard.

Manage participants through Vercel AI SDK

Add users to your sessions instantly without leaving your code editor. Call `add_participant` to register new learners as they join your application flow. This keeps your user data in sync across your platform and Howspace. You get immediate feedback on registration status directly in your edge functions.

Automate campaign tracking with MCP

Query your entire organizational development pipeline via `list_campaigns`. Fetch active initiatives and display them in your custom dashboards. Combine this with `list_workspaces` to see exactly where your engagement metrics live. It's the fastest way to map your learning ecosystem without manual database lookups.

Setup guide

Set up Howspace 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 Howspace 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 Howspace 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 Howspace. 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 Howspace MCP in Vercel AI SDK

Initialize the client with your endpoint and call your tools directly within your streamText functions. It hooks into your existing TypeScript environment without extra configuration.

Yes, just invoke the `list_participants` tool in your agent logic. It returns the current list of users for any specific workspace ID you provide.

It is built for modern web environments. You can connect to the server via HTTP transport to keep your edge functions fast and responsive.

Vinkius handles the auth tunnel. Your tokens stay isolated, and only the tools you explicitly call can touch your workspace or participant records.

All participant data is encrypted in transit. The server only exposes what the API allows, and you control which agent has permission to read those records.

Use it with your favorite AI tools

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