Enables local AI agents to work with SQL workspaces and databases by inspecting schemas, running bounded queries, and managing recoverable imports, previews, applies, diffs, and undos over stdio.
Provides AI agents read-only analytical access to a SQLite database over stdio, with tools for listing tables, describing schemas, and running paginated SQL queries.
Enables AI agents and assistants to work with a Databricks workspace — SQL, clusters and warehouses, notebooks, Jobs, Lakeflow pipelines, Unity Catalog, Volumes, dashboards, Genie, model serving, Vector Search, Lakebase and Apps — under a safety-first model with read/write/destructive/security classification, confirmation steps for dangerous changes, production resource protection, and a fully read-only mode. Every call is checked against the official Databricks SDK, returns typed schemas and redacted secrets, and unsupported features report an explicit error rather than faking results.
This is a Model Context Protocol (MCP) server for executing SQL queries against Databricks using the Statement Execution API.
It enables AI assistants to directly query Databricks data warehouses, analyze database schemas, and retrieve query results in a structured format
Exposes a DuckDB-backed MCP server that lets an agent fetch a dataset's schema and run read-only SQL queries against it. All execution is filtered server-side, enforcing single-statement, read-only safety independent of the calling model's behavior.