Akeneo PIM 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 Akeneo PIM 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 Akeneo PIM, 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 Akeneo PIM MCP Server
Connect your Akeneo PIM instance to your AI agent to unlock professional product data orchestration. From auditing product technical metadata and localized descriptions to managing attribute groups and category trees, your agent handles your e-commerce catalog through natural conversation.
The Vercel AI SDK gives every Akeneo PIM 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
- Product Orchestration — List and retrieve details for products using identifiers or UUIDs, and update attributes seamlessly
- Taxonomy Management — List and audit category trees to ensure your product classification is always consistent
- Attribute Oversight — List available attributes and families to understand your PIM's data structure
- Channel & Locale Auditing — Retrieve configured channels and locales to manage multi-market product data
- Catalog Insights — Quickly identify incomplete product records or audit attribute values directly from your chat interface
The Akeneo PIM 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 Akeneo PIM to Vercel AI SDK via MCP
Follow these steps to integrate the Akeneo PIM 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 Akeneo PIM and passes them to the LLM
Why Use Vercel AI SDK with the Akeneo PIM MCP Server
Vercel AI SDK provides unique advantages when paired with Akeneo PIM 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 Akeneo PIM integration everywhere
Built-in streaming UI primitives let you display Akeneo PIM 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
Akeneo PIM + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Akeneo PIM MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Akeneo PIM in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Akeneo PIM tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Akeneo PIM capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Akeneo PIM through natural language queries
Akeneo PIM MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Akeneo PIM to Vercel AI SDK via MCP:
get_attribute_details
Get attribute metadata
get_category_details
Get category metadata
get_product_details
Get product metadata
list_attributes
List product attributes
list_categories
List category trees
list_channels
g. Mobile, Web) configured in the PIM. List sales channels
list_families
List product families
list_locales
List enabled languages
list_products
Supports cursor-based pagination. List PIM products
update_product
Update product attributes
Example Prompts for Akeneo PIM in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Akeneo PIM immediately.
"List the last 5 products updated in my Akeneo PIM."
"Show details for product identifier 'SKU-98765'."
"List all attributes in the 'Marketing' group."
Troubleshooting Akeneo PIM MCP Server with Vercel AI SDK
Common issues when connecting Akeneo PIM to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpAkeneo PIM + Vercel AI SDK FAQ
Common questions about integrating Akeneo PIM 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 Akeneo PIM 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 Akeneo PIM to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.