Snowflake MCP

Install and verify cuPyNumeric for Python using conda or pip, including GPU usage checks.

Ingest and process high-throughput event streams using Azure Event Hubs SDK for Python, with support for producers, consumers, and checkpointing.

Enables the Google Analytics Data API, authenticates via gcloud, and creates customized reports using the v1beta client library.

Build synthetic datasets and data generation pipelines using the Data Designer library.

Build video analytics pipelines using NVIDIA DeepStream SDK 9.0 with Python pyservicemaker API, including GStreamer-based video processing, TensorRT inference integration, object detection/tracking, and Kafka/message broker integration.

Create interactive, publication-quality visualizations with 40+ chart types, including scatter, bar, line, 3D, maps, and financial charts, with support for hover, zoom, pan, subplots, and export to HTML or static images.