Afosto MCP Server for Vercel AI SDK 4 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Afosto 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 Afosto, 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 Afosto MCP Server
Connect your Afosto Retail Engine account to your AI agent to unlock enterprise-grade e-commerce orchestration. From managing multi-channel orders to monitoring real-time inventory across warehouses and auditing product catalogs, your agent handles your retail stack through natural conversation.
The Vercel AI SDK gives every Afosto tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 4 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 Orchestration — List and audit multi-channel orders, check fulfillment statuses, and retrieve technical metadata
- Inventory Management (WMS) — Monitor real-time stock levels across multiple locations and identify replenishment needs
- Product Catalog Oversight — List products, variants, and pricing to ensure your storefront is always synchronized
- Customer Intelligence — Retrieve centralized customer profiles and interaction history to support sales and support
- Retail Insights — Quickly identify sales trends or inventory bottlenecks directly from your chat interface
The Afosto MCP Server exposes 4 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 Afosto to Vercel AI SDK via MCP
Follow these steps to integrate the Afosto 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 4 tools from Afosto and passes them to the LLM
Why Use Vercel AI SDK with the Afosto MCP Server
Vercel AI SDK provides unique advantages when paired with Afosto 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 Afosto integration everywhere
Built-in streaming UI primitives let you display Afosto 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
Afosto + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Afosto MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Afosto in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Afosto tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Afosto capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Afosto through natural language queries
Afosto MCP Tools for Vercel AI SDK (4)
These 4 tools become available when you connect Afosto to Vercel AI SDK via MCP:
list_customers
Retrieve centralized customer profile data and their historic eCommerce behavior
list_inventory
Retrieve real-time inventory and stock levels aggregated by warehouse distribution
list_orders
Retrieve recent multi-channel eCommerce orders aggregated by Afosto
list_products
Retrieve the complete product catalog, highlighting active variants and their pricing
Example Prompts for Afosto in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Afosto immediately.
"List all pending orders from the last 24 hours."
"What is the current stock level for 'Wireless Headphones' in all warehouses?"
"Search for a customer profile with email 'john.doe@example.com'."
Troubleshooting Afosto MCP Server with Vercel AI SDK
Common issues when connecting Afosto to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpAfosto + Vercel AI SDK FAQ
Common questions about integrating Afosto 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 Afosto 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 Afosto to Vercel AI SDK
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.