MCP servers and skills: search, filter by where they run, and compare.
Serverless compute for Databricks jobs, Lakeflow pipelines and Declarative Automation Bundles (DABs), with STANDARD or PERFORMANCE_OPTIMIZED and classic only where serverless cannot run the workload.
OfficialSkillLink only★ 347 in collection
Migrate Databricks workloads from classic compute to serverless compute. Use when migrating notebooks, jobs, pipelines, or Scala JARs (`spark_jar_task`) from classic clusters to serverless, checking i
OfficialSkillLink only★ 347 in collection
Convert existing projects into Apify Actors - serverless cloud programs. Actorize JavaScript/TypeScript (SDK with Actor.init/exit), Python (async context manager), or any language (CLI wrapper). Use w
OfficialSkillLink only★ 2.4k in collection
Execute code and manage compute on Databricks: run Python/Scala/SQL/R via serverless, classic, or interactive clusters, and create/resize/delete clusters and SQL warehouses.
OfficialSkillLink only★ 347 in collection
Generate realistic synthetic data using Spark + Faker (strongly recommended). Supports serverless execution, multiple output formats (Parquet/JSON/CSV/Delta), and scales from thousands to millions of
OfficialSkillLink only★ 347 in collection
Databricks AI Runtime, the `databricks air` CLI commands for submitting and managing GPU training workloads on Databricks serverless compute. Use for: writing and submitting `databricks air` workload
OfficialSkillLink only★ 347 in collection
Serverless functions for coding agents — create, deploy, invoke, monitor from the terminal. CLI + MCP server (12 tools, local or remote).
MCPLink onlyFew stars
Cloudflare Worker: smart-data-extractor. REST + MCP. Live: api.lazy-mac.com/smart-data-extractor
MCPLink onlyFew stars
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