List all Databricks Apps in your workspace.
MIT
436,488 tools. Updated 2026-08-10 10:45
"Databricks" matching MCP tools:
- Retrieve details of a specific Databricks app by providing its name.MIT
- Returns the current authenticated principal (user or service principal) for your Databricks workspace.MIT
- List all deployments for a specified Databricks App to track version history and rollbacks.MIT
- Update an existing Databricks App by specifying the app name and a JSON object of fields to modify.MIT
- Create a new Databricks App with a unique name. Optionally specify description, source code path, and resource bindings like SQL warehouses or jobs.MIT
Matching MCP Servers
- AlicenseBqualityCmaintenanceExposes Databricks REST APIs as MCP tools for managing and querying a Databricks workspace, including clusters, jobs, SQL, Unity Catalog, and more.100MIT
- AlicenseAqualityBmaintenanceSafe, read-only SQL analytics for AI agents over MCP, enabling exploration, profiling, and querying of data without mutation risk.5MIT
Matching MCP Connectors
AI data intelligence platform that brings your data warehouse, dashboards, monitoring, and accumulated business knowledge into any MCP client. Connects to BigQuery, Snowflake, PostgreSQL, MySQL, ClickHouse, Redshift, Databricks, SQL Server, and Azure Synapse.
Remote data science agents for Snowflake, Databricks & BigQuery in Claude/Cursor via MCP
- Delete a Databricks app to remove unused applications and free up resources. Specify the app name to proceed.MIT
- Retrieve a list of all Databricks clusters to monitor resources, manage configurations, and track cluster status.MIT
- Start a terminated Databricks cluster by providing its cluster ID to resume data processing and analytics workflows.MIT
- Shut down a Databricks cluster to stop resource usage and manage costs. Provide the cluster ID to terminate it.MIT
- Retrieve and display all Databricks jobs to monitor and manage scheduled workflows and automated tasks.MIT
- Create a Databricks job with a name and tasks; returns the job ID.MIT
- Stop and decommission a Databricks cluster using its cluster ID to manage resources and control costs.MIT
- Retrieve and display all active Databricks clusters to manage compute resources and monitor cluster status.MIT
- Execute Databricks jobs by specifying job parameters, enabling automated workflow runs with configurable notebook inputs.MIT
- Execute Databricks jobs by specifying a job ID and optional notebook parameters to trigger data processing, analytics, or automation workflows.MIT
- Discover available Databricks MCP tools after authentication to access and interact with Databricks-hosted applications through Claude.
- Authenticate with Databricks via OAuth to enable interaction with Databricks-hosted tools through Claude. Opens browser for authorization.
- Creates an empty masking policy for a tag to control how tagged data is masked. Supports Snowflake and Databricks with platform-specific tag handling.GPL 3.0
- Delete a Snowflake tag from ALTR after removing all associated policies. For Databricks, use delete_policy instead.GPL 3.0