Verify your Databricks MCP configuration by resolving host, transport, and auth method without revealing secrets.
MIT
521,294 tools. Updated 2026-09-06 10:44
"Databricks" matching MCP tools:
- List all Databricks Apps in your workspace.MIT
- 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
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
- AlicenseCqualityDmaintenanceA read-only MCP server that enables users to query Databricks SQL, browse metadata, and monitor Delta Lake tables. It also supports tracking Databricks Jobs, DLT Pipelines, and cluster metrics through natural language interfaces.254MIT
Matching MCP Connectors
Your Databricks Lakehouse in natural language: run SQL on your SQL warehouses, track long-running qu
- KyomiOAuth
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.
- Create a new Databricks App with a unique name. Optionally specify description, source code path, and resource bindings like SQL warehouses or jobs.MIT
- Edit a Databricks cluster's configuration, including name, workers, Spark version, node type, instance pool, autotermination, Spark config, and tags. Returns the cluster ID.MIT
- Delete a Databricks app to remove unused applications and free up resources. Specify the app name to proceed.MITDestructive
- 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
- Provision a new Databricks cluster with specified Spark version, node type, and worker count for data processing and analytics workloads.MIT
- Retrieve detailed information about a specific Databricks cluster by providing its cluster ID to monitor configuration, status, and performance.MIT
- Create a new notebook in Databricks workspace with specified path, content, and language to organize and execute code.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
- Start a terminated Databricks cluster by providing the required cluster ID parameter to resume data processing and analytics workflows.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