MCP (Agent Gateway)

MCP-Native PIM for your Agent-to-Agent (A2A) Operations

Connect your preferred AI agents directly to your product catalog using native MCP. Bluestone PIM gives users, APIs, and AI agents the same access to data, so you can scale and deploy tools quickly.

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MCP-Native PIM2-2

API-first

MCP-native

LLM-neutral

MACH certified

EU AI Act-ready

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the agentic PIM

700+

Task-level endpoints. Surgical, granular, idempotent.
UI / API parity

100%

Every UI operation has a machine-callable equivalent.
Agent protocol

MCP Native

Claude, ChatGPT, Cursor and custom agents.
Certification

First MACH PIM

Composable, headless, cloud-native, API-first.

What this gives you

One connection. Your entire PIM, agent-ready.

MCP is fast becoming the standard for how AI agents connect to the tools and data they work with. Bluestone PIM's native implementation covers the full data model — not a limited preview, not a handful of read-only endpoints. Full read/write, governed by the same rules as your platform, live today.

Any MCP-capable agent

Claude Desktop, ChatGPT Apps, Cursor, your own custom agent — whatever speaks MCP connects and operates Bluestone PIM out of the box. No vendor approval, no waitlist.

Full data model, not a slice

Products, catalogues, attributes, contexts, assets, publishing, workflow — every concept in the platform is reachable. The same depth your team works with, exposed to any agent.

Enterprise governance built in

Same access controls, same audit trail, same workflow rules as the rest of the platform. Every agent action is logged. Agents operate within your safety boundary — not around it.

What agents can do

Operations your agents can run.

Once connected, agents can read and write across your full data model — in pipelines, A2A workflows, or any MCP-capable tool. Think of it as the floor, not the ceiling. The more tools you expose, the more problems they can solve.

Audit completeness across markets

  • Query completeness scores per context
  • Surface attribute gaps by catalogue or supplier
  • Route results to the next pipeline step

Enrich and write back at scale

  • Read products with gaps
  • Generate attributes, descriptions, or translated values
  • Write back across any context without leaving the workflow

Build and reorganise catalogue structure

  • Create category nodes and assign products
  • Update hierarchy and membership
  • Structural changes done in a single call, not hours in the UI

Validate compliance readiness

  • Check against EU DPP, channel, or internal standards
  • Return structured gap reports for downstream action
  • Flag failures before they reach the channel

Compare data across contexts

  • Diff values across language or market contexts
  • Spot completeness and attribute coverage gaps
  • No custom reporting logic required

Trigger publishing and sync

  • Initiate channel syncs and retrieve publish history
  • Inspect diffs since last sync
  • Gate the trigger on upstream conditions — nothing goes live until the data is ready

How it works

What can AI agents do via Bluestone PIM MCP?

Every AI capability in Bluestone PIM — enrichment, translation, analysis, imagery — is a thin layer over a model the customer chooses. We don't ship our own foundation model and we don't lock you into someone else's. The platform is the operator. The model is interchangeable.

Built-for-agents-horizontal2

Any LLM provider

Any MCP client

No walled gardens

BYOM-first

BYOM in practice

Bring your own model. Without a re-platform.

Three concrete ways our customers exercise the openness — and what it lets them do that closed-AI platforms can't.

Match the model to the task

Use a frontier model where quality matters. Use a cheaper one for high-volume work. Per-capability, per-context, all from the same platform.

Stay current without waiting

When a better model ships, adopt it the day it launches. You're not waiting on the PIM vendor to certify it.

Your data stays yours

Your models access your data on your terms. No quiet siphoning to vendor training pipelines. No shadow data flows.

What MCP gives an agent access to

Deep coverage across the core. Read and write.

The MCP implementation covers the concepts your agents will work with most — products, catalogues, attributes, contexts, assets, publishing and workflow. Not every API endpoint has a dedicated MCP tool yet, but the core data surface is solid and coverage grows continuously. Every call runs through the same access controls and audit trail as the rest of the platform.
CONCEPT READ WRITE
PRODUCTS
Product (single, group, variant)Including variant group assignment and promotion ✓ ✓
Attribute valuesSimple, dictionary, column, matrix, compound ✓ ✓
Product connectionsCross-sell, related, accessories ✓ ✓
Completeness scorePer context, per catalogue; create and manage requirements ✓ ✓
Product historyWho changed what, when (read-only) ✓ —
CATALOGUES & ATTRIBUTES
Catalogues & category treesHierarchical nodes, product-to-node membership ✓ ✓
Attribute definitionsSimple, dictionary, column, matrix, compound, relation types ✓ ✓
CONTEXTS & ASSETS
Contexts (language/market)Read-only definitions; read/write context-scoped values ✓ ✓
Assets & mediaSearch, browse, upload via presigned S3 flow ✓ ✓
PUBLISHING & WORKFLOW
Sync / publishTrigger sync, view publish history, get diffs ✓ ✓
Tasks & workflowsList, assign, update status ✓ ✓
Start using the MCP Server →

For Developers & Power Users

Bluestone PIM Labs

For developers and power users looking to bring Bluestone PIM into their own AI workflows — Claude, Cursor, or ChatGPT. Connect remotely, run locally, or fork it entirely. Start building your own specialised flavours of the Bluestone PIM experience, tailored to your team's specific niche and expertise.

Go to the Labs →

From Labs to Production

The path to Extensions Hub

Labs is the on-ramp. If what you build gets traction, the next step is the Bluestone PIM Extensions Hub — the marketplace where integrations and tools reach the full Bluestone PIM customer base, with the option to monetize.

Related capabilities

Built for Agents

AI Capabilities

The six AI agents built into the platform — and the models you can swap behind each one.
Learn more

Built for Agents

MCP (Agent Gateway)

The open protocol that lets Claude, ChatGPT, and Cursor operate Bluestone PIM.
Learn more

Built for Agents

Integration Patterns

How the open APIs and webhooks connect to the systems you already use.
Learn more

INTELLIGENT BY NATURE

Common Questions About Agentic PIM

  • MCP, the Model Context Protocol, is an open standard for how AI agents connect to the tools and data they work with. Think of it as a universal plug: instead of building a custom integration for every agent, a system exposes its capabilities once over MCP, and any MCP-capable agent can use them.

    Bluestone PIM is MCP-native, so agents like Claude, ChatGPT and Cursor can read and write your product data directly, governed by your platform's own rules.

     

  • An MCP-native PIM is a product information platform that exposes its capabilities to AI agents over the Model Context Protocol, rather than bolting on a limited preview. Bluestone PIM covers the full data model: products, catalogues, attributes, contexts, assets, publishing and workflow, with full read and write.