raw-labs/mxcp
Model eXecution + Context Protocol: Enterprise-Grade Data-to-AI Infrastructure
This framework helps data engineers and ML operations teams build secure, reliable, and production-ready data and AI applications. It takes raw data, structured with tools like dbt, and transforms it into robust APIs for AI models and business applications. The output is a set of governed, quality-controlled 'tools' that AI models can use safely and effectively.
Use this if you need a structured, enterprise-grade way to connect your trusted data sources and analytical models to AI applications, ensuring data quality, security, and auditability.
Not ideal if you're looking for a simple, quick way to prototype a personal AI project without needing strong data governance, security, or production-level guarantees.
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59
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Language
Python
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Last pushed
Mar 10, 2026
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