How to Use the Metrc MCP in Vercel AI SDK

Stream real-time Metrc inventory data directly into your Vercel AI SDK frontends for instant visibility.

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Connect Metrc MCP to Vercel AI SDK

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

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Live inventory tracking for AI SDK

Pipe live package data straight into your UI components. By connecting this MCP Server, your app pulls `list_active_packages` results as they hit the API. Your users won't stare at loading spinners while the backend churns. The AI SDK streams these records directly, so your inventory table populates as the agent finishes its work.

Instant facility data retrieval

Query your licensed locations without writing custom middleware. Use `list_facilities` to grab active site IDs and feed them into your state management layer. It removes the need for extra database lookups. You get the raw data from the source and render it immediately in your React or Svelte views.

Dynamic strain and unit management

Keep your frontend inputs in sync with current regulatory definitions. Call `list_active_strains` or `get_unit_of_measures` to populate your forms with valid options. This ensures your users select data that actually exists in the system. It prevents submission errors before they happen by keeping your dropdowns updated with real-time values.

Setup guide

Set up Metrc 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 Metrc 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 Metrc 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 Metrc. 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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Metrc MCP in Vercel AI SDK

Initialize the client using the Vercel AI SDK transport and map the tools to your stream. You call the specific tool functions directly within your generateText or streamText calls.

Yes. Since this is a standard MCP Server, the Vercel AI SDK handles the tool output as a stream. Data appears on the page as the agent processes the request.

Absolutely. Just define your UI components to accept the JSON returned by the tools. The integration ensures that your frontend stays in lockstep with the API responses.

The server returns an error code which the SDK catches. You should implement a standard try-catch block in your route handler to manage these occurrences gracefully.

Vinkius runs this MCP Server in an ephemeral sandbox. Your facility credentials and package records never touch our persistent storage and are cleared once your session ends.

Use it with your favorite AI tools

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

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