Add Databricks SDK MCP Server

[pramodbhatofficial]

New MCP Server: Databricks SDK MCP

Category: Cloud / Data Platform

Description

Comprehensive SDK-first MCP server for Databricks providing 263 tools across 28 service domains and 8 prompt templates.

Built on the official Databricks Python SDK for type safety and automatic API freshness.

Service Domains

Unity Catalog, SQL, Compute, Jobs, Pipelines, Serving Endpoints, Vector Search, Apps, Lakebase, Dashboards, Genie, Secrets, IAM, Connections, Experiments, Delta Sharing, Files (DBFS & Volumes), Grants, Storage, Metastores, Online Tables, Global Init Scripts, Tokens, Git Credentials, Quality Monitors, Command Execution, and Composite Workflows.

Key Features

• SDK-first: Uses databricks-sdk — no raw REST calls
• Zero custom auth: Delegates to SDK (PAT, OAuth, Azure AD, service principal)
• Selective loading: Role-based presets (data_engineer, ml_engineer, platform_admin, etc.)
• Tool discovery: Built-in databricks_tool_guide tool for agent self-guidance
• 8 MCP Prompts: Guided workflows for common multi-step operations

Configuration

Variable	Required	Description
DATABRICKS_HOST	Yes	Workspace URL
DATABRICKS_TOKEN	Yes (secret)	PAT or OAuth token
DATABRICKS_MCP_TOOLS_INCLUDE	No	Comma-separated modules to load

Links

• GitHub: https://github.com/pramodbhatofficial/databricks-mcp-server
• PyPI: https://pypi.org/project/databricks-sdk-mcp/
• MCP Registry: io.github.pramodbhatofficial/databricks-sdk-mcp
• License: Apache 2.0

Notes

• tools.json is included since the server requires DATABRICKS_HOST/DATABRICKS_TOKEN to list tools
• Option A (Docker-built image) preferred