How to Use the LeafLink MCP in Vercel AI SDK

Q: How do I connect LeafLink to Vercel AI SDK?

Install @ai-sdk/mcp and use createMCPClient with your Vinkius HTTP endpoint. Pass the tools returned by the client into your streamText function to let your agent manage inventory.

Q: Can I stream LeafLink order lists to Vercel AI SDK?

Yes. When your agent calls listreceivedorders, the results stream directly into your UI components, allowing buyers to see their order history update in real-time.

Q: How do I handle authentication for buyers using this setup?

You can pass OAuth tokens using the authProvider option in createMCPClient. This ensures each buyer only sees their own data when calling listwholesalecustomers.

Build real-time cannabis wholesale dashboards that stream LeafLink inventory and order updates live using Vercel AI SDK.

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Connect LeafLink MCP to Vercel AI SDK

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

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Stream LeafLink data live with Vercel AI SDK

Stop making users stare at loading spinners while fetching bulk wholesale catalogs. When your agent calls `list_wholesale_products`, this MCP Server feeds data straight into your Next.js frontend, rendering inventory rows on the screen as they arrive from the API. You configure the setup by running `npm install ai @ai-sdk/mcp` and calling `mcpClient.tools()` to pass tools directly to `streamText`. This keeps your Edge Functions fast and ensures wholesale buyers see real-time stock levels without lag.

Fast order state updates on the edge

Let buyers change LeafLink order states directly in your Next.js application using conversational commands. Your agent invokes `update_order_status` to transition orders from received to fulfilled, pushing the updated state back to the UI immediately. By running `get_order_details` inside Vercel Edge Functions, you avoid heavy server runtimes. The direct connection keeps your order management interface snappy and responsive for high-volume distributors.

Instant catalog addition from the browser

Adding new items to your catalog shouldn't require complex multi-page forms. Your agent can collect details from a simple chat prompt and call `create_new_product` to write directly to your wholesale inventory. Remember to call `mcpClient.close()` once the operation completes to clean up active connections. This keeps your serverless environments clean and prevents leaked API connections during peak trading hours.

Setup guide

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

Install `@ai-sdk/mcp` and use `createMCPClient` with your Vinkius HTTP endpoint. Pass the tools returned by the client into your `streamText` function to let your agent manage inventory.

Yes. When your agent calls `list_received_orders`, the results stream directly into your UI components, allowing buyers to see their order history update in real-time.

Yes, it is fully compatible. The server runs in a sandboxed environment, allowing your Vercel AI SDK agent to run lightweight checks like `get_product_details` with minimal latency.

You can pass OAuth tokens using the `authProvider` option in `createMCPClient`. This ensures each buyer only sees their own data when calling `list_wholesale_customers`.

Your wholesale order details and cannabis product lists never touch external databases. Vinkius runs the integration in an isolated V8 sandbox, routing API requests directly to LeafLink using your secure credentials.

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