#databricks

Data observability for engineering teams: alerts, freshness monitoring, schema drift detection, validity rules, lineage. Connect any MCP client (Claude Code, Cursor, Claude Desktop) via 53 structured tools across Snowflake, BigQuery, Postgres, Databricks, Redshift, ClickHouse, MySQL, SQL Server, Athena. Hosted at mcp.anomalyarmor.ai/mcp with OAuth 2.1, or run locally via `pip install armor-mcp` with an API key.

Ultra-fast to deploy agentic-first mcp-ready semantic layer. Let your data be like water. Bonnard is a CLI for building and deploying semantic layers. Define metrics and dimensions in YAML, deploy a governed MCP server, and serve AI agents and BI tools. Supports Snowflake, BigQuery, Databricks, PostgreSQL, and more. Ships with native integrations for Claude Code, Cursor, and Codex. GitHub: https://github.com/meal-inc/bonnard-cli Docs: https://docs.bonnard.dev/docs/ npm: https://www.npmjs.com/package/@bonnard/cli

Integrate your Alkemi Data, connected to Snowflake, Google BigQuery, DataBricks and other sources, with your MCP Client.

My Databricks MCP server to interact with Databricks through LLM models

This read-only MCP Server allows you to connect to Databricks data from Claude Desktop through CData JDBC Drivers. Free (beta) read/write servers available at

This project implements a Model Context Protocol (MCP) server that exposes Databricks Genie API capabilities as tools

Mirror of