AI Integrations with Model Context Protocol (MCP)

Context

To boost decision-making and empower advanced AI assistants (like Claude or ChatGPT) with the ability to query and analyze information in real time, a microservices ecosystem based on the Model Context Protocol (MCP) was designed and implemented.

This ecosystem acts as a secure, governed, and high-performance bridge between Large Language Models (LLMs) and the corporate Data Warehouse (DWH) at Vinos América.

[!NOTE]
Confidentiality and Intellectual Property Note:
Being a private and strategic enterprise development, the source code, credentials, and the Data Warehouse (DWH) codebase/schemas are not publicly available (not open-source) to protect information security and organization operational rules.