Propel launches production MCP for AI-driven PLM integration
Sat, 27th Jun 2026 (Today)
Propel Software has launched a production deployment of Model Context Protocol for product lifecycle management, which it says makes it the first PLM vendor to offer the protocol for production use.
The launch is designed to link enterprise artificial intelligence tools such as Claude, ChatGPT and Copilot with live product records and workflows in Propel's system. It also allows PLM agents to connect with third-party MCP servers, enabling users to pull in data from enterprise resource planning systems, suppliers and component information sources.
Manufacturers have been testing artificial intelligence in product development and operations, but many projects have struggled to move beyond the pilot stage because data remains fragmented across business systems. Product lifecycle management software sits at the centre of design, quality and change processes, making access to current product data a key issue for companies trying to use AI in day-to-day decisions.
Propel's MCP deployment gives external AI clients direct access to live product data in its PLM environment while applying the same security and governance rules already in place on the platform. Users can query product records, ask questions about data and carry out simple operations without logging in directly to the PLM interface.
Users can also build custom agents that connect from Propel to external MCP servers run by other enterprise platforms, including NetSuite and SAP. This allows information such as inventory data, supplier risk details and workflow records to be brought into product-related processes inside Propel.
Data access
The announcement comes as Model Context Protocol gains attention as a way to connect large language models and software agents with business systems. Rather than relying on isolated assistants that operate only within a single application, MCP is designed to let AI tools retrieve current information from multiple sources while keeping existing controls in place.
For manufacturers, that matters because decisions on design changes, sourcing, compliance and service often depend on data spread across PLM, ERP and supplier systems. A direct link between AI assistants and those records could reduce the risk of staff relying on outdated copies, manual exports or incomplete answers produced from limited data sets.
Ross Meyercord, Chief Executive Officer of Propel Software, said the company was moving ahead of established competitors in this area.
"Propel is the first PLM to deliver MCP for production use. Legacy PLM vendors have introduced AI assistants that operate within their own interfaces, approaches that keep product teams tethered to aging tools," said Ross Meyercord, Chief Executive Officer of Propel Software.
"MCP connects Claude, ChatGPT, or Copilot directly to live product data, right where work already happens. For manufacturers competing on speed and product quality, that's the difference between being AI-ready today and waiting years for a legacy vendor's roadmap to catch up," Meyercord said.
Industry view
Analysts have increasingly pointed to data quality and system integration as two of the biggest barriers to practical AI use in industry. While many software providers have added AI assistants to their own products, companies often want staff to use AI tools that already sit in broader office, design or workflow environments.
That creates pressure on enterprise software suppliers to make current business records available to external models and agents without breaking governance rules. For manufacturers, the challenge is especially acute because product information changes frequently and errors can affect sourcing, production planning and regulatory processes.
Jim Brown, President and Founder of Tech-Clarity, said live access to trusted product data would be central to broader AI adoption across manufacturing functions.
"Manufacturers expect AI to support decisions across the entire product lifecycle, from design and quality to marketing, sales and service. That requires AI tools to work with trusted, accurate product data, wherever those tools are being used," said Jim Brown, President and Founder of Tech-Clarity.
"By connecting enterprise AI assistants directly to live product data, and enabling outreach to ERP and other critical business systems, Propel's MCP can put a unified, reliable product record to work across the entire enterprise. For manufacturers already investing in AI, that's a meaningful step forward," Brown said.
Propel is known for its product value management platform, built on Salesforce and used by manufacturers in sectors including high technology, medical technology and consumer goods. The latest launch places the company in a closely watched part of the industrial software market, where vendors are racing to show that AI can be tied to live operational data rather than remain limited to stand-alone chat tools.