Data & Storage · Integration

Akeneo

Add Akeneo to your product for your customers, and give your AI agents governed access to it.

Akeneo is a product information manager, so it holds no orders and no stock. What it holds is product records and product models, the attributes that describe them, the families that decide which attributes apply, categories, and the channels and locales a value is published for. That last part is the whole difficulty. An attribute value is not one value: it can be scoped per channel and per locale, so a description exists many times over, and completeness is calculated for each channel and locale pair rather than for the product as a whole. Family variants add another axis again. fastn maps that structure per customer as configuration, and owns the credentials and API upkeep.

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In your product

Embedded for your customers. Per-tenant auth, no per-customer code, maintained by fastn.

Let a customer connect their own Akeneo instance so your product reads enriched product content instead of a flat feed.

Write an attribute value against the right channel and locale, so a translation lands where it was meant to.

Read family and family variant definitions so your onboarding shows the attribute structure a customer actually uses.

Use completeness per channel and locale to decide whether a product is ready for the destination your product feeds.

For your AI agents

Governed, audited access for the agents you build, through the MCP server.

An agent reports which products are incomplete for a given channel and locale, and which attributes are empty.

An agent fills or corrects an attribute value within scoped permissions, and the scope it wrote to is recorded.

An agent checks which family a product belongs to before it suggests what else needs filling in.

Example prompt

Which products are incomplete for the German locale on this channel, and which attributes are missing?

Set up Akeneo in 4 steps

  1. 01Enable the Akeneo connector from your fastn dashboard.
  2. 02Have each customer authorise their own Akeneo account, so calls run under their credentials rather than a shared key.
  3. 03Decide which products, product models, attributes and families your product needs, and note that a value is scoped per channel and per locale, so pick which of those you read.
  4. 04Call it from your product and expose it to your agents through the same governed connection.

Why teams use the Akeneo integration

What you get by embedding it with fastn instead of building it yourself.

  • Ship an Akeneo integration without building it. Your customers connect their own Akeneo account inside your product and work their records, datasets and fields there, with no per-customer code on your side.
  • Handle the part that actually costs time: schemas differ per customer and change without notice, and volumes can be large. fastn owns the auth, token refresh, rate limits, pagination and breaking-change fixes, so an Akeneo update is not your on-call problem.
  • One integration serves your product and your agents. The same governed Akeneo connection powers in-product features and gives AI agents scoped, audited access, so you read and write your customers' data where it already lives without wiring it twice.

Used by these teams

EngineeringData & Analytics

Compare with

inriver

Works well with

ShopifyMagento 2

Often used alongside

Tools the same teams tend to run next to Akeneo, across other categories.

Anthropic ClaudeOpenAIAzure OpenAIHugging Face

Akeneo integration FAQ

How do I add an Akeneo integration to my product?

Enable the Akeneo connector in your fastn dashboard, then let each customer authenticate their own Akeneo account. fastn handles the OAuth flow, token storage and refresh per tenant, so there is no Akeneo client code in your app and no per-customer branch in your codebase. Setup is 4 steps.

Do my customers each connect their own Akeneo account?

Yes. Every connection is scoped to the individual customer, so each authorises their own Akeneo account and only ever sees their own records, datasets and fields. That per-tenant isolation is the point of an embedded integration: you support the long tail of customer setups without maintaining an integration per customer.

Can AI agents use this Akeneo integration?

Yes. The same connection is exposed to your agents through the fastn MCP gateway, with permissions scoped per tenant and every call audited. An agent reports which products are incomplete for a given channel and locale, and which attributes are empty.

Who maintains the Akeneo integration?

fastn does. When Akeneo changes an endpoint, deprecates a field or alters its auth, the fix lands in the connector rather than in your backlog, and your customers' connections keep working.

Does the Akeneo integration adapt when a customer's schema changes?

Schema and field mapping is configuration per customer, so a change on their side is a mapping update rather than a code change and a release on yours.

How are large Akeneo reads handled?

Pagination and throttling are handled for you, and initial backfills are rate-limited so a large import does not exhaust a customer's API allowance.

What can I build with the Akeneo integration?

A common starting point: let a customer connect their own Akeneo instance so your product reads enriched product content instead of a flat feed. Teams also use it for the other use cases listed above, and expose it to agents for governed reads and writes.

How much does the Akeneo integration cost?

It is included. Pricing is based on connected accounts, not on how many connectors you enable, so adding Akeneo does not change your per-connector cost. You can start free with 3 connected accounts.

Add Akeneo to your product

Start free with 3 connected accounts. No sales call required, and no per-customer integration code.

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