How to Use the Cadmium Harvester MCP in Vercel AI SDK

Q: How do I install the Cadmium Harvester tool in my Vercel AI SDK project?

Grab the packages first by running npm install ai @ai-sdk/mcp. Next, establish the connection using createMCPClient and pass the tools directly into your streamText function.

Q: Can I use Cadmium Harvester with Vercel AI SDK's UI components?

Yes, that is where this setup shines. The tool output from geteventdetails streams directly into your React or Next.js components as JSON.

Q: Does Cadmium Harvester support OAuth when used with Vercel AI SDK?

It does. You can configure the authProvider option inside the client setup to manage your Cadmium tokens securely.

Q: How do I close the MCP connection to prevent memory leaks?

Always invoke mcpClient.close() after your generator finishes streaming the Cadmium event details. Leaving connections open inside serverless functions will exhaust your Vinkius limits quickly.

Stream Cadmium event data and presenter files straight into your Next.js frontend with the Vercel AI SDK.

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Connect Cadmium Harvester MCP to Vercel AI SDK

Create your Vinkius account to connect Cadmium Harvester 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 Cadmium Harvester with Vercel AI SDK

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Stream live presenter details with Vercel AI SDK

The Cadmium Harvester MCP Server stops your users from waiting for spinny loading wheels by streaming event data live. By connecting this setup to your frontend, you let your agent pull speaker profiles using `list_presenters` and `get_presenter_details` while rendering the text dynamically on screen.

Pull session assets directly on the Edge

This MCP Server lets your agent run `list_presentation_assets` to grab slide decks or PDFs on the Edge. Running your AI features on Vercel Edge Functions means you need lightweight, fast connections. Users can ask the agent to find specific files for a session, and the system resolves it instantly.

Track event metrics in real-time

This MCP Server tracks your conference schedule without manual database queries. Your agent can call `get_presentation_count` and `list_presentations` to give users instant summaries of how many sessions are locked in. If someone asks for a quick breakdown of the schedule, the agent fetches the raw count and lists the topics.

Setup guide

Set up Cadmium Harvester 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 Cadmium Harvester 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 Cadmium Harvester 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 Cadmium Harvester. 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 Cadmium Harvester MCP in Vercel AI SDK

Grab the packages first by running `npm install ai @ai-sdk/mcp`. Next, establish the connection using `createMCPClient` and pass the tools directly into your `streamText` function.

Yes, that is where this setup shines. The tool output from `get_event_details` streams directly into your React or Next.js components as JSON.

It does. You can configure the `authProvider` option inside the client setup to manage your Cadmium tokens securely.

Always invoke `mcpClient.close()` after your generator finishes streaming the Cadmium event details. Leaving connections open inside serverless functions will exhaust your Vinkius limits quickly.

All requests for speaker bios and slide assets run through a secure V8 sandbox on Vinkius. Your Cadmium API credentials are never exposed to the frontend or saved in plaintext.

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