Akeneo PIM MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Akeneo PIM through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Akeneo PIM Assistant",
instructions=(
"You help users interact with Akeneo PIM. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Akeneo PIM"
)
print(result.final_output)
asyncio.run(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 OpenAI Agents SDK auto-discovers all 10 tools from Akeneo PIM through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Akeneo PIM, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Akeneo PIM MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Akeneo PIM
Why Use OpenAI Agents SDK with the Akeneo PIM MCP Server
OpenAI Agents SDK provides unique advantages when paired with Akeneo PIM through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Akeneo PIM + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Akeneo PIM MCP Server delivers measurable value.
Automated workflows: build agents that query Akeneo PIM, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Akeneo PIM, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Akeneo PIM tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Akeneo PIM to resolve tickets, look up records, and update statuses without human intervention
Akeneo PIM MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Akeneo PIM to OpenAI Agents 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents 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 OpenAI Agents SDK
Common issues when connecting Akeneo PIM to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Akeneo PIM + OpenAI Agents SDK FAQ
Common questions about integrating Akeneo PIM MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
