Networked AI

Connect Product Data and Processes

Propel MCP connects your AI tools directly to live product data and workflows in Propel, with the security and governance your teams already rely on.

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Why Propel Leads in MCP

Propel MCP allows Claude, ChatGPT, Copilot, and other AI tools to access real-time data and orchestrate workflows in Propel. Thanks to our AI-ready platform, prompts delivered by MCP follow the same rules and compliance guardrails that are already configured in Propel.

Unlock Productivity

Users move faster by entering prompts directly into their AI client, which then directs Propel to complete the instruction.

Fast Data Access

Query real product records in Propel using natural language, available directly in your AI tool of choice.

Easier Data Integration

Connect to any MCP server, including ERP and supplier software, to coordinate data and workflows across platforms.

Always Secure

MCP access runs inside your existing Propel governance model. Your IP stays protected. Your policies stay in place.

What is MCP for manufacturing?
MCP, or Model Context Protocol, is a standard that lets AI agents connect to and act across enterprise systems, such as PLM, QMS, ERP, and supplier portals, without custom integrations for every connection.

For manufacturers, that means a single conversational request can pull BOM data, check procurement agreements, qualify alternate parts, and generate a change order across every system involved, in minutes. MCP surfaces whatever data is already there, wherever it lives, without users needing to specify which system to find it.

Propel’s unified data model means your product records, quality data, and compliance documentation are already structured and governed before any agent touches them. That’s why Propel MCP, built on Salesforce Headless 360, delivers on its promise from day one.

How it works

You only have to set up your Propel MCP once to create a consistent two-way bridge between your AI tools and your product data. Here's what happens when you put it to work.

You type in a request in plain language to Claude, ChatGPT, or any Propel MCP-enabled server.

Propel MCP translates that request into a structured query against your live product records.

A clean, accurate answer is returned to your AI tool, or an action is taken in Propel, with your governance intact.

One Connection. Every System.
Propel MCP bridges your entire enterprise data landscape without rebuilding what you've already built.
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Learn why AI becomes unstoppable with a unified product thread
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FAQ
What is Propel MCP?
Propel MCP is the agentic interface into and out of Propel. Today, it lets AI clients like Claude, ChatGPT, and Copilot query live product records in Propel, answer questions, and perform simple operations, without requiring users to log into the system. Propel One agents can also reach out to third-party MCP servers to pull in ERP, supplier, and component data.
How is Propel MCP different from the AI features other PLM vendors offer?
Most PLM AI runs on Retrieval Augmented Generation (RAG), indexing snapshots of your data into a separate system. By the time you ask about an open change order or a supplier's compliance status, the answer may already be stale. Furthermore, RAG is read-only: it can summarize, but it can't act.

Propel MCP connects Claude, ChatGPT, or Copilot directly to live product records through a permissioned interface so answers come from the actual record, governed by the same security and permissions already configured in Propel.

And unlike other offerings, Propel MCP works both ways: AI clients reach into Propel for live data, and Propel One agents reach out to ERP, procurement, and supplier systems to pull external context back into product decisions.
Do I need to replace my existing integrations?
No. Existing integrations between Propel and your ERP, MES, or other systems don't need to be rebuilt. MCP is a universal standard, meaning any MCP-capable AI client connects to any MCP-capable server without a bespoke integration. When you enable Propel's MCP server, those integrations become AI-accessible. The investments you've already made become an asset for your AI strategy, not a liability to work around.
Do I need a new license to use Propel MCP?
For inbound MCP, no additional license is required. Inbound MCP is where AI tools query your live Propel data, and is included at no additional charge with your existing Propel license.

Product Performance licenses get full inbound access; Product Collaboration licenses have limited access.

Outbound MCP, which lets Propel One agents reach out to third-party systems like NetSuite, SAP, and SiliconExpert, requires a Propel One license.
Which AI tools can connect to Propel through MCP?
Propel MCP supports any MCP-compatible AI client, including Claude, ChatGPT, and Microsoft Copilot. If your enterprise AI tool supports MCP, it can connect to your live Propel product data with the same security and governance you have configured today.
How does Propel protect data security with MCP?
Every MCP interaction runs through Propel's enterprise trust layer, including zero data retention and full audit trails. Your IP is never stored or used to train external models. AI actions are governed by your existing user permissions, so agents only access what a given user is authorized to see.
What's on the roadmap for Propel MCP?
Propel MCP is built in phases. Today, AI assistants can query individual Propel records. The Summer 2026 release adds Propel-native actions and curated flows so AI follows your specific processes reliably. The Winter 2027 release unlocks autonomous, multi-step work across unified product data, with AI that reasons across your full product thread and acts across systems end to end.