{"id":"characat0-databricks-mcp-server","name":"databricks-mcp-server","af_score":51.0,"security_score":52.8,"reliability_score":26.2,"what_it_does":"Databricks MCP Server is a Model Context Protocol (MCP) server that exposes tools for browsing Databricks workspace objects (catalogs, schemas, tables, SQL warehouses) and for executing SQL statements against a Databricks SQL warehouse, returning results to the MCP client.","best_when":"You have an MCP-capable agent/client and need structured, tool-based access to Databricks for discovery and query execution with constrained parameters (timeout and row limit).","avoid_when":"You cannot control or verify the Databricks credentials/permissions used by the MCP server, or you need clearly documented safety, idempotency, and retry semantics.","last_evaluated":"2026-04-04T19:41:47.272380+00:00","has_mcp":true,"has_api":false,"auth_methods":["Databricks unified authentication (details deferred to Databricks documentation)"],"has_free_tier":false,"known_gotchas":["`execute_sql` can run arbitrary SQL statements; agent callers should restrict statements/roles and apply conservative `row_limit`/`timeout_seconds` to reduce risk and cost.","Listing tools return arrays but no explicit pagination strategy is documented; large catalogs/schemas may require additional filtering patterns or operational constraints."],"error_quality":0.0}