LeafLink MCP Server for Vercel AI SDK 9 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect LeafLink 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 LeafLink, 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 LeafLink MCP Server
Connect your LeafLink account to any AI agent to automate your cannabis wholesale operations. This MCP server enables your agent to manage product listings, monitor real-time inventory, and track received orders directly from natural language.
The Vercel AI SDK gives every LeafLink tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 9 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
- Order Oversight — List and retrieve detailed information for all wholesale orders received from buyers
- Inventory Visibility — Get real-time stock levels and availability for your entire product catalog
- Catalog Management — List, retrieve, create, and update products including pricing and metadata
- Status Transitions — Move orders through their lifecycle (accept, fulfill, cancel) via simple commands
- Partner Tracking — List registered brands and buyers to maintain clear visibility of your wholesale network
The LeafLink MCP Server exposes 9 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 LeafLink to Vercel AI SDK via MCP
Follow these steps to integrate the LeafLink 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 9 tools from LeafLink and passes them to the LLM
Why Use Vercel AI SDK with the LeafLink MCP Server
Vercel AI SDK provides unique advantages when paired with LeafLink 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 LeafLink integration everywhere
Built-in streaming UI primitives let you display LeafLink 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
LeafLink + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the LeafLink MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query LeafLink in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate LeafLink tools and return structured JSON responses to any frontend
Chatbots with tool use: embed LeafLink capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with LeafLink through natural language queries
LeafLink MCP Tools for Vercel AI SDK (9)
These 9 tools become available when you connect LeafLink to Vercel AI SDK via MCP:
create_new_product
Requires a JSON body with product details. Add a new product to your wholesale catalog
get_order_details
Get details for a specific order
get_product_details
Get details for a specific product
list_received_orders
List all wholesale orders received
list_wholesale_brands
List all brands in your account
list_wholesale_customers
List all buyers and customers
list_wholesale_products
List all products available in your inventory
update_order_status
g., accept, fulfill, cancel, reject). Transition an order through its lifecycle
update_product_inventory
Update inventory level for a specific product
Example Prompts for LeafLink in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with LeafLink immediately.
"Show me all active wholesale orders in LeafLink."
"Check the inventory level for 'Sour Diesel Flower 3.5g'."
"Accept the order #ORD-101."
Troubleshooting LeafLink MCP Server with Vercel AI SDK
Common issues when connecting LeafLink to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpLeafLink + Vercel AI SDK FAQ
Common questions about integrating LeafLink 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 LeafLink 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 LeafLink to Vercel AI SDK
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.