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Databricks MCP tools

Production-ready MCP servers that extend AI capabilities through file access, database connections, APIs, and contextual services.

70,386 tools. Last updated 2026-02-07 12:59
  • Execute a Databricks job by specifying the job ID and optional notebook parameters, enabling automation of workflows and task management within the Databricks environment.
  • Retrieve detailed information about a Databricks cluster by providing its cluster ID, enabling efficient management and monitoring through the Databricks MCP Server.
  • Retrieve detailed information about a Databricks cluster using its cluster_id, enabling efficient management and monitoring within the Databricks MCP Server environment.

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