YoneTeam MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 10 tools to Create Demand, Get Me, Get Offer Details, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect YoneTeam through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this App Connector for Vercel AI SDK
The YoneTeam app connector for Vercel AI SDK is a standout in the Erp Operations category — giving your AI agent 10 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 YoneTeam, 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 YoneTeam MCP Server
Connect your YoneTeam (Satin Alma) account to any AI agent and streamline your entire procurement and supply chain process through natural conversation.
The Vercel AI SDK gives every YoneTeam 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
- Demand Management — List and create internal purchasing demands to initiate the procurement cycle.
- Offer Comparison — Query and inspect supplier offers and quotes to make informed buying decisions.
- Order Tracking — Manage the lifecycle of purchase orders from issuance to final delivery.
- Supplier Directory — List approved suppliers and browse your materials catalog to identify sourcing options.
- Delivery Logistics — Monitor scheduled deliveries and incoming shipments to keep your operations running smoothly.
The YoneTeam 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.
All 10 YoneTeam tools available for Vercel AI SDK
When Vercel AI SDK connects to YoneTeam through Vinkius, your AI agent gets direct access to every tool listed below — spanning procurement, purchasing-management, demand-management, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Create a new purchasing demand
Get account information
Get details of a specific offer
Get details of a specific purchase order
List scheduled deliveries
List purchasing demands
List material catalog
List supplier offers
List purchase orders
List approved suppliers
Connect YoneTeam to Vercel AI SDK via MCP
Follow these steps to wire YoneTeam into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the YoneTeam MCP Server
Vercel AI SDK provides unique advantages when paired with YoneTeam 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 YoneTeam integration everywhere
Built-in streaming UI primitives let you display YoneTeam 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
YoneTeam + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the YoneTeam MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query YoneTeam in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate YoneTeam tools and return structured JSON responses to any frontend
Chatbots with tool use: embed YoneTeam capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with YoneTeam through natural language queries
Example Prompts for YoneTeam in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with YoneTeam immediately.
"Show me all pending purchasing demands from the IT department."
"Compare the current offers for purchase demand #1029."
"Create a new demand for '10x Ergonomic Chairs' for the Sales team."
Troubleshooting YoneTeam MCP Server with Vercel AI SDK
Common issues when connecting YoneTeam to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpYoneTeam + Vercel AI SDK FAQ
Common questions about integrating YoneTeam 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.