by RafaelCartenet · MCP Server · ★ 37
Databricks MCP Server Motivation Overview Practical Benefits of UC Metadata for AI Agents Available Tools and Features Setup System Requirements Installation Permissions Requirements Running the Server Standalone Mode Using with Cursor Example Usage Workflow (for an LLM Agent) Managing Metadata as Code with Terraform Handling Long-Running Queries Dependencies Motivation Databricks Unity Catalog (UC) allows for detailed documentation of your data assets, including catalogs, schemas, tables, and columns. Documenting these assets thoroughly requires an investment of time.
| Stars | 37 |
| Forks | 21 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 68.8319924937208/100 |
| Open Issues | 2 |
| Last Updated | 2026-03-28 |
| Created | 2025-03-10 |
| Platforms | mcp, python |
| Est. Tokens | ~26k |
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mcp-databricks-server is Model Context Protocol (MCP) server for Databricks that empowers AI agents to autonomously interact with Unity Catalog metadata. Enables data discovery, lineage analysis, and intelligent SQL execution. It is categorized as a MCP Server with 37 GitHub stars.
mcp-databricks-server is primarily written in Python. It covers topics such as databricks, llm, mcp.
You can find installation instructions and usage details in the mcp-databricks-server GitHub repository at github.com/RafaelCartenet/mcp-databricks-server. The project has 37 stars and 21 forks, indicating an active community.
mcp-databricks-server is released under the MIT license, making it free to use and modify according to the license terms.