Metrc MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Metrc through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Metrc, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Metrc MCP Server
Connect your Metrc account to any AI agent and take full control of your cannabis track-and-trace compliance through natural conversation.
The Vercel AI SDK gives every Metrc tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Facility Oversight — List all licensed facilities and fetch detailed metadata for your operations
- Inventory Tracking — Retrieve active items, strains, and inventory packages with real-time status visibility
- Supply Chain Management — Monitor plant life cycles, harvest batches, and incoming inventory transfers securely
- Compliance Auditing — List active sales receipts and verify unit of measure configurations
- Detailed Inspection — Fetch comprehensive metadata for individual packages and state-specific license configurations
The Metrc MCP Server exposes 10 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Metrc to Vercel AI SDK via MCP
Follow these steps to integrate the Metrc MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Metrc and passes them to the LLM
Why Use Vercel AI SDK with the Metrc MCP Server
Vercel AI SDK provides unique advantages when paired with Metrc through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Metrc integration everywhere
Built-in streaming UI primitives let you display Metrc tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Metrc + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Metrc MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Metrc in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Metrc tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Metrc capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Metrc through natural language queries
Metrc MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Metrc to Vercel AI SDK via MCP:
get_package_details
Get details for a specific package
get_unit_of_measures
g. Grams, Ounces). List all units of measure
list_active_harvests
List active harvests for a facility
list_active_items
List active items for a facility
list_active_packages
List active packages for a facility
list_active_sales
List active sales receipts
list_active_strains
List active strains for a facility
list_facilities
List all licensed facilities
list_incoming_transfers
List incoming inventory transfers
list_tracked_plants
List tracked plants for a facility
Example Prompts for Metrc in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Metrc immediately.
"List all active facilities associated with my Metrc account."
"Show active inventory packages for license 'LIC-12345'."
"Get details for package label 'ABCDEFG1234567'."
Troubleshooting Metrc MCP Server with Vercel AI SDK
Common issues when connecting Metrc to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpMetrc + Vercel AI SDK FAQ
Common questions about integrating Metrc MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Metrc with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Metrc to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.