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 LlamaIndex 10 tools — connect in under 2 minutes

Name: Akeneo PIM
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Akeneo PIM as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Akeneo PIM. "
            "You have 10 tools available."
        ),
    )

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

asyncio.run(main())

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* 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.

LlamaIndex agents combine Akeneo PIM tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

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

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

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

Why Use LlamaIndex with the Akeneo PIM MCP Server

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

Data-first architecture: LlamaIndex agents combine Akeneo PIM tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Akeneo PIM tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Akeneo PIM, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Akeneo PIM tools were called, what data was returned, and how it influenced the final answer

Akeneo PIM + LlamaIndex Use Cases

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

Hybrid search: combine Akeneo PIM real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Akeneo PIM to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Akeneo PIM for fresh data

Analytical workflows: chain Akeneo PIM queries with LlamaIndex's data connectors to build multi-source analytical reports

Akeneo PIM MCP Tools for LlamaIndex (10)

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

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

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Akeneo PIM + LlamaIndex FAQ

Common questions about integrating Akeneo PIM MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Akeneo PIM tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.