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IBM API Connect V12 & MCP Deep Dive
Automating the Enterprise API Lifecycle with AI Agents
Overview
In this technical deep dive, you will discover how IBM API Connect V12 and the Model Context Protocol (MCP) collaborate with AI coding agents (such as IBM Bob) to automate and enhance the end-to-end API lifecycle.
Through a fictional enterprise scenario (a car dealership network), we demonstrate how combining OpenAPI contracts with company-specific profiles allows you to generate a fully tested API in minutes.
What You Will Learn
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Context-Driven API Generation
How to use profiling skills to feed company-specific conventions (naming rules, policy structures, and project layouts) to an AI agent alongside OpenAPI specifications. -
The Dual Role of MCP in Enterprise Workflows
- At Development Time: How AI agents leverage platform MCP tools to build, test, and publish assets to a DataPower Nano Gateway sandbox.
- At Runtime: How generated REST APIs are exposed as runtime MCP tools for conversational AI assistants.
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From Contract to Conversation
Watch an AI agent translate a natural-language request "Find an electric SUV near Brussels with 500km range and schedule a test drive" into an orchestrated chain of tool invocations across multiple API domains. -
Extensibility from Business Requirements
How to add brand-new capabilities (including tests, MCP servers, and tools) starting purely from a functional business prompt without an initial OpenAPI spec.
Who Should Attend?
This session is designed for professionals looking to practically integrate Generative AI and MCP into their integration strategy:
- API & Enterprise Architects
- Integration Engineers & Developers
- Tech Leads & Platform Owners