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Educational resources for using low-code integration platforms to connect business applications.
Distinguishing note: No existing candidates; this covers general-purpose integration and automation platform learning.
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This project serves as a centralized directory and resource hub for extending the functional capabilities of AI agents. It provides a structured collection of tools and integration patterns that enable large language models to interact with external software platforms, facilitating autonomous task execution and data retrieval across a wide range of business applications. The repository distinguishes itself by standardizing communication between AI models and external services through the Model Context Protocol. It utilizes declarative skill manifests and machine-readable tool-calling schemas
Make Automation — a named example documented in this learning resource.