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Pipe17’s MCP server bridges order operations data with AI tools through client-server architecture; enabling automated order troubleshooting via function calls and real-time inventory management workflows.

September 19, 2025 //  by Finnovate

Pipe17, the AI-native Order Operations Platform, announced the industry’s first Model Context Protocol (MCP) server purpose-built for order management. Pipe17 MCP Server extends connectivity and order management into any MCP-enabled environment, including AI assistants such as Claude, Gemini, and ChatGPT, allowing AI to directly access all of the data and functionality within Pipe17. By exposing order-related data via MCP, customers can: Marry order data with AI. Once order data is accessible through the Pipe17 MCP Server, AI can analyze it, generate code, and build custom apps and workflows, putting the broader AI ecosystem to work. Troubleshoot stuck orders. Business users can ask AI to perform tasks that involve dozens of MCP tools and resources. For example – retrieving an order, finding out why it’s stuck, and then fixing it requires approximately 11 Pipe17 MCP function and resource calls. AI magically does it for you, without any intervention. Make agentic commerce real. Expose an endpoint so orders can be consumed from any selling channel, whether human-driven or AI-driven. 3PL leaders are also validating the approach. Anthony Hockaday, Sr. Director of Product Management at Radial, said, “The Pipe17 MCP Server represents the future of how 3PLs will operate. By making order data instantly accessible through AI, it transforms the way we serve brands. Our clients gain intelligence and clarity at the speed of conversation, which will fundamentally change how logistics partners build trust and scale.” “With Pipe17, order data is no longer locked away in a SaaS app. Connected through MCP, it becomes accessible to the trillion-dollar AI ecosystem, giving every enterprise the ability to make agentic commerce a reality,” said Mo Afshar, CEO of Pipe17.

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Category: AI & Machine Economy, Innovation Topics

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