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 Pydantic AI 10 tools — connect in under 2 minutes

Name: Akeneo PIM
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Akeneo PIM through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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 pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Akeneo PIM "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Akeneo PIM?"
    )
    print(result.data)

asyncio.run(main())

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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.

Pydantic AI validates every Akeneo PIM tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

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

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Akeneo PIM with type-safe schemas

Why Use Pydantic AI with the Akeneo PIM MCP Server

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

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Akeneo PIM integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Akeneo PIM connection logic from agent behavior for testable, maintainable code

Akeneo PIM + Pydantic AI Use Cases

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

Type-safe data pipelines: query Akeneo PIM with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Akeneo PIM tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Akeneo PIM and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Akeneo PIM responses and write comprehensive agent tests

Akeneo PIM MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Akeneo PIM to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Akeneo PIM + Pydantic AI FAQ

Common questions about integrating Akeneo PIM MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Akeneo PIM MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.