Databricks Connector
CreatedJordiNeil
Connects LLMs to Databricks, enabling natural language interaction with SQL warehouses and job management.
About
This server provides a Model Context Protocol (MCP) interface for Databricks, allowing Large Language Models (LLMs) to interact with Databricks SQL warehouses and manage jobs using natural language. It enables LLMs to execute SQL queries, list all Databricks jobs, get the status of specific jobs, and retrieve detailed information about jobs. This integration facilitates a more intuitive and efficient way to work with Databricks data and workflows through conversational interfaces.
Key Features
- Execute SQL queries on Databricks SQL warehouses via natural language.
- Retrieve Databricks job status updates via natural language.
- 8 GitHub stars
- List Databricks jobs through LLM commands.
- Get detailed Databricks job information using natural language prompts.
Use Cases
- Enable LLMs to answer data-related questions by querying Databricks SQL warehouses.
- Integrate Databricks workflows into conversational AI applications.
- Automate Databricks job monitoring and management through natural language interfaces.