How to Use the Akeneo PIM MCP in AutoGen

Q: How do I install the Akeneo PIM MCP server for AutoGen?

Install autogen-extmcp. Use mcpservertools with StreamableHttpServerParams pointing to your Vinkius endpoint, then pass the tools to your AssistantAgent.

Q: How does AutoGen handle Akeneo PIM schema conversions?

The framework manages it natively. McpToolAdapter translates the complex JSON schemas required by tools like updateproduct into formats the agents understand.

Q: Can AutoGen agents check which Akeneo PIM channels are active?

They do this by executing listchannels. The agents then discuss whether a product is ready for mobile or web distribution based on the results.

Build AutoGen agent teams that debate and manage your Akeneo PIM catalog through this MCP server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Akeneo PIM MCP to AutoGen

Create your Vinkius account to connect Akeneo PIM to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Akeneo PIM with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Drive catalog consensus

AutoGen agents excel at solving complex taxonomy problems through debate. Assign one agent to pull current structures using `list_categories` through the MCP server while another argues for a simpler hierarchy. The agents check each other's work before committing changes. A translation agent proposes localized descriptions using `list_locales`, which a compliance agent then verifies.

Automate multi-agent Akeneo PIM MCP Server tasks

Catalog migrations require careful planning. Your system uses `list_products` to analyze current SKUs, while a separate performance agent pushes to batch the updates efficiently. Once the team reaches a decision, execution is straightforward. The designated writer agent calls `update_product` to apply the agreed-upon attribute changes.

Validate attributes through conversation

Finding missing product data is a negotiation. An auditor agent runs `get_product_details` to flag empty fields, prompting a researcher agent to source the missing specs. This setup prevents bad data from reaching production. The schema conversion for tools like `get_attribute_details` happens automatically via the `McpToolAdapter`, keeping the agents focused on the actual data quality.

Setup guide

Set up Akeneo PIM MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Akeneo PIM tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Akeneo PIM_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Akeneo PIM data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Akeneo PIM_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Akeneo PIM data")
    print(result.messages[-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Akeneo PIM. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Akeneo PIM now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Akeneo PIM MCP in AutoGen

Install `autogen-ext[mcp]`. Use `mcp_server_tools` with `StreamableHttpServerParams` pointing to your Vinkius endpoint, then pass the tools to your `AssistantAgent`.

Yes. You provide the tool list to any agent in your conversational group. A reviewer agent and an editor agent both call `get_product_details` during their debate.

The framework manages it natively. `McpToolAdapter` translates the complex JSON schemas required by tools like `update_product` into formats the agents understand.

They do this by executing `list_channels`. The agents then discuss whether a product is ready for mobile or web distribution based on the results.

Vinkius isolates your connection completely. Your product families, SKUs, and category metadata flow through an ephemeral environment that vanishes after the task completes. No data persists on our infrastructure.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript