The Databricks Permissions MCP Server facilitates management of Databricks permissions, access credentials, and Git credentials through the MCP protocol. It integrates with Databricks REST APIs to enable secure permission management, resource access, and credential handling, optimized for LLM-powered tools like Claude Desktop. Built with asyncio, it supports asynchronous operations for efficient handling of permission requests and updates, providing a comprehensive solution for Databricks environment control.
Added on:
Created by:
Mar 18 2025
The Databricks Permissions MCP Server facilitates management of Databricks permissions, access credentials, and Git credentials through the MCP protocol. It integrates with Databricks REST APIs to enable secure permission management, resource access, and credential handling, optimized for LLM-powered tools like Claude Desktop. Built with asyncio, it supports asynchronous operations for efficient handling of permission requests and updates, providing a comprehensive solution for Databricks environment control.
Added on:
Created by:
Mar 18 2025
Lloyd Burley
Featured
What is Databricks Permissions MCP Server?
This MCP server provides a robust platform for managing various aspects of Databricks environments, including permissions for different resources such as clusters, jobs, SQL warehouses, and workspace objects. It supports creating, updating, and deleting permissions with a set of extensive API functions, ensuring fine-grained control. Additionally, it manages Git credentials and service principals, allowing streamlined integration and security management. Built using Python and asyncio, it offers efficient, asynchronous operations compatible with MCP clients like Claude Desktop, enabling automated permission workflows and credential management across Databricks resources.
Who will use Databricks Permissions MCP Server?
- Databricks administrators
- DevOps teams
- AI and Data Science teams
- Security teams
- Automation engineers
How to use the Databricks Permissions MCP Server?
- Step1: Install dependencies and set environment variables as per the documentation
- Step2: Clone the MCP server repository from GitHub
- Step3: Configure environment variables with your Databricks host and token
- Step4: Run the server using the provided script (start_mcp_server.ps1 or start_mcp_server.sh)
- Step5: Connect MCP-compatible tools like Claude Desktop and configure them to interact with the server using the specified commands
Databricks Permissions MCP Server's Core Features & Benefits
The Core Features
- get_permissions
- set_permissions
- update_permissions
- get_permission_levels
- get_cluster_permissions
- set_cluster_permissions
- update_cluster_permissions
- get_job_permissions
- set_job_permissions
- get_warehouse_permissions
- get_workspace_object_permissions
- list_service_principals
- get_service_principal
- create_service_principal
- update_service_principal
- delete_service_principal
- get_catalog_permissions
- get_schema_permissions
- get_table_permissions
- list_git_credentials
- create_git_credential
- update_git_credential
- delete_git_credential
The Benefits
- Centralized permission management
- Secure credential handling
- Seamless integration with Databricks APIs
- Support for multiple resource-specific permissions
- Async and efficient operation
Databricks Permissions MCP Server's Main Use Cases & Applications
- Managing Databricks permissions for various resources
- Automating permission updates with LLM tools
- Handling credentials and service principals securely
- Integrating Databricks with CI/CD pipelines
- Enabling permission auditing and compliance
FAQs of Databricks Permissions MCP Server
Developer
- JustTryAI
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