Databricks
Enables interaction with Databricks clusters, jobs, and notebooks via the Model Completion Protocol.
About
Databricks facilitates seamless interaction with Databricks services, providing access to clusters, jobs, notebooks, and more through the Model Completion Protocol (MCP). It allows LLM-powered tools to execute Databricks functionalities, bridging the gap between natural language processing and data engineering workflows. The server exposes Databricks REST API functionality as MCP tools, enabling automation and integration with AI clients like Cursor and Claude CLI.
Key Features
- Offers tools for managing clusters, jobs, and notebooks
- Supports asynchronous operations for efficient performance
- Implements the MCP protocol for LLM interaction with Databricks
- 2 GitHub stars
- Provides access to Databricks REST API functionality
- Exposes Databricks functionality as MCP tools
Use Cases
- Managing Databricks resources programmatically through LLMs
- Integrating Databricks with AI-powered development environments
- Automating Databricks tasks using natural language commands
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