How do I find my Akeneo API credentials?

Log in to Akeneo, navigate to **Connect** > **Connection settings**, and create a new connection. You will generate a Client ID, Secret, and a system user with its own Username and Password for the API.

Can I update product attributes via the agent?

Yes! Use the `update_product` tool and provide the product identifier along with the attributes you want to change. Your agent will submit a PATCH request to synchronize the data.

What is the difference between SKU and UUID in Akeneo?

The SKU (identifier) is your internal product code. The UUID is a unique system identifier generated by Akeneo. While both can be used, UUIDs are recommended for permanent links as identifiers can technically be changed.

Akeneo PIM MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: Akeneo PIM
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Akeneo PIM through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "akeneo-pim": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Akeneo PIM, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

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IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

LangChain's ecosystem of 500+ components combines seamlessly with Akeneo PIM through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Akeneo PIM MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from Akeneo PIM via MCP

Why Use LangChain with the Akeneo PIM MCP Server

LangChain provides unique advantages when paired with Akeneo PIM through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Akeneo PIM MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Akeneo PIM queries for multi-turn workflows

Akeneo PIM + LangChain Use Cases

Practical scenarios where LangChain combined with the Akeneo PIM MCP Server delivers measurable value.

RAG with live data: combine Akeneo PIM tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Akeneo PIM, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Akeneo PIM tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Akeneo PIM tool call, measure latency, and optimize your agent's performance

Akeneo PIM MCP Tools for LangChain (10)

These 10 tools become available when you connect Akeneo PIM to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

Common issues when connecting Akeneo PIM to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Akeneo PIM + LangChain FAQ

Common questions about integrating Akeneo PIM MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.