lakehouse plugins

by Jeremy Longshore

MCP server for the Databricks control plane — 8 read-only tools for cluster forensics, instance pools, DLT pipeline event logs, and Unity Catalog external locations / storage credentials. The endpoint families no managed Databricks MCP exposes; pairs with the managed SQL MCP for system.* reads.

by Jeremy Longshore

MCP server for the Databricks control plane — 8 read-only tools for cluster forensics, instance pools, DLT pipeline event logs, and Unity Catalog external locations / storage credentials. The endpoint families no managed Databricks MCP exposes; pairs with the managed SQL MCP for system.* reads.

by Luan Moreno

Spec-Driven Development framework for Data Engineering — 58 agents, 24 KB domains, 5-phase SDD workflow, 31 commands

by Matt Corbett

Databricks lakehouse engineering team — agents (lakehouse-architect, databricks-platform-engineer) answering 'how do we build this on Databricks correctly and affordably?': medallion (bronze/silver/gold) architecture, Delta Lake table design (partitioning, liquid clustering, OPTIMIZE/Z-ORDER, VACUUM), Unity Catalog governance (catalogs/schemas/grants, lineage), Spark & PySpark job design and the shuffle/skew/spill failure modes, Structured Streaming & Auto Loader, DLT pipelines, Photon, Jobs/Workflows orchestration, and cluster/SQL-warehouse sizing & cost control (DBUs, autoscaling, spot, serverless). Engineering judgment, not a benchmark; DBR/runtime/pricing specifics are volatile — every version carries a retrieval date + [verify-at-use]. Distinct from microsoft-fabric (Fabric/OneLake), data-platform (generic ETL), data-orchestration (Airflow/Dagster), analytics-engineering (dbt/semantic layer), and ml-engineering (classical MLOps). Needs ravenclaude-core.

by Matt Corbett

Microsoft Fabric specialist team — agents (fabric-architect, lakehouse-engineer, warehouse-engineer, data-factory-engineer, realtime-intelligence-engineer, fabric-semantic-model-engineer, fabric-admin) covering OneLake, Lakehouse (Spark/Delta/medallion/materialized lake views), Warehouse (T-SQL/ACID), Data Factory (mirroring/copy-job/dataflow-gen2/pipelines), Real-Time Intelligence (Eventstream/Eventhouse/KQL/Activator), Direct Lake semantic models, and platform admin (capacity FinOps, OneLake security, domains, Purview, ALM). citation-grounded knowledge bank (two Mermaid decision trees + a dated 2026 capability map), templates, an advisory hook (house opinions). Seams: enterprise Microsoft/Fabric here vs non-Microsoft/SMB embedded to data-platform; Fabric storage + Direct Lake here vs standalone Power BI/.pbix to power-platform/power-bi-engineer. Requires ravenclaude-core@>=0.7.0.

by pvallarino

Connect Claude Code to a Microsoft Fabric SQL analytics endpoint (Lakehouse or Warehouse) without admin rights and without an Entra ID app registration -- device-code login, persistent token cache, and a reusable query runner.