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What is the Databricks MCP Server?
The Databricks MCP Server is a tool for executing SQL queries against Databricks using the Statement Execution API, facilitating efficient data retrieval and management.
How does the MCP Server integrate with AI models?
The MCP Server acts as a bridge, allowing AI models to access and interact with external data sources, enhancing AI-driven insights and predictions.
What are the system requirements for installing the Databricks MCP Server?
The server requires Python 3.10+ and can be installed via uv or pip.
How can I ensure secure operation of the MCP Server?
Ensure proper configuration of SQL warehouse, token, and data access permissions, and follow security best practices such as token rotation and query audits.
Can the MCP Server handle long-running queries?
Yes, the server is designed to handle long-running queries by polling the Databricks API until completion or timeout.
Databricks MCP Server
Project Details
- RafaelCartenet/mcp-databricks-server
- Last Updated: 4/14/2025
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