Databricks Permissions MCP Server

by JustTryAI

168 downloads

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MCP server for managing Databricks permissions and credentials

Details

Author: JustTryAI
Downloads: 168
Categories: Other

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name Databricks Permissions MCP Server

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "databricks permissions mcp server": {
            "databricks-permissions-mcp-server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    ".venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "databricks permissions mcp server": {
            "databricks-permissions-mcp-server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    ".venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "databricks permissions mcp server": {
            "databricks-permissions-mcp-server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    ".venv"
                ]
            }
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "databricks permissions mcp server": {
            "databricks-permissions-mcp-server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    ".venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "databricks permissions mcp server": {
            "databricks-permissions-mcp-server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    ".venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "databricks permissions mcp server": {
            "databricks-permissions-mcp-server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    ".venv"
                ]
            }
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "databricks permissions mcp server": {
            "databricks-permissions-mcp-server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    ".venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "databricks permissions mcp server": {
            "databricks-permissions-mcp-server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    ".venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "databricks permissions mcp server": {
            "databricks-permissions-mcp-server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    ".venv"
                ]
            }
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "databricks permissions mcp server": {
            "databricks-permissions-mcp-server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    ".venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "databricks permissions mcp server": {
            "databricks-permissions-mcp-server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    ".venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "databricks permissions mcp server": {
            "databricks-permissions-mcp-server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    ".venv"
                ]
            }
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "databricks permissions mcp server": {
            "databricks-permissions-mcp-server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    ".venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "databricks permissions mcp server": {
            "databricks-permissions-mcp-server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    ".venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "databricks permissions mcp server": {
            "databricks-permissions-mcp-server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    ".venv"
                ]
            }
        }
    }
}

From the repository

Clone the repository, set up a Python virtual environment with Python 3.10+, install dependencies with pip install -e ., and configure the environment variables DATABRICKS_HOST and DATABRICKS_TOKEN. Run the server using ./start_mcp_server.sh (Linux/Mac) or .\start_mcp_server.ps1 (Windows), or add a custom command in Claude Desktop pointing to python -m src.server.databricks_permissions_mcp_server.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "databricks permissions mcp server": {
            "databricks-permissions-mcp-server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    ".venv"
                ]
            }
        }
    }
}

McpServers

{
    "databricks-permissions-mcp-server": {
        "command": "python",
        "args": [
            "-m",
            "venv",
            ".venv"
        ]
    }
}

Databricks Permissions MCP Server

A Model Completion Protocol (MCP) server that provides access to Databricks permissions, credentials, and Git credentials via the MCP protocol. This allows LLM-powered tools like Claude to interact with Databricks permissions management systems.

Features

- MCP Protocol Support: Implements the MCP protocol to allow LLMs to manage Databricks permissions
- Databricks API Integration: Provides secure access to Databricks permissions REST APIs
- Permission Management: Comprehensive tools for managing permissions on various Databricks resources
- Git Credentials Management: Tools for creating, listing, updating, and deleting Git credentials
- Async Support: Built with asyncio for efficient operation

Available Tools

The Databricks Permissions MCP Server exposes the following tools:

Permissions Management

- get_permissions: Get permissions for a Databricks object - set_permissions: Set permissions for a Databricks object - update_permissions: Update permissions for a Databricks object - get_permission_levels: Get available permission levels for a Databricks object type

Resource-Specific Permissions

- get_cluster_permissions: Get permissions for a cluster - set_cluster_permissions: Set permissions for a cluster - update_cluster_permissions: Update permissions for a cluster - get_job_permissions: Get permissions for a job - set_job_permissions: Set permissions for a job - get_warehouse_permissions: Get permissions for a SQL warehouse - get_workspace_object_permissions: Get permissions for a workspace object (notebooks, directories)

Service Principals

- list_service_principals: List all service principals in the workspace - get_service_principal: Get details of a specific service principal - create_service_principal: Create a new service principal - update_service_principal: Update an existing service principal - delete_service_principal: Delete a service principal

Unity Catalog Permissions

- get_catalog_permissions: Get permissions for a Unity Catalog catalog - get_schema_permissions: Get permissions for a Unity Catalog schema - get_table_permissions: Get permissions for a Unity Catalog table

Git Credentials Management

- list_git_credentials: List all Git credentials - create_git_credential: Create a new Git credential - update_git_credential: Update an existing Git credential - delete_git_credential: Delete a Git credential

Installation

Prerequisites

- Python 3.10 or higher
- MCP-compatible client (e.g., Claude Desktop)

Setup

1. Clone the repository:

   git clone https://github.com/yourusername/databricks-permissions-mcp-server.git

   cd databricks-permissions-mcp-server

2. Set up the project:

   # Create and activate virtual environment

   python -m venv .venv

   

   # On Windows

   .\.venv\Scripts\activate

   

   # On Linux/Mac

   source .venv/bin/activate

   

   # Install dependencies in development mode

   pip install -e .

3. Set up environment variables:

   # Windows

   set DATABRICKS_HOST=https://your-databricks-instance.azuredatabricks.net

   set DATABRICKS_TOKEN=your-personal-access-token

   

   # Linux/Mac

   export DATABRICKS_HOST=https://your-databricks-instance.azuredatabricks.net

   export DATABRICKS_TOKEN=your-personal-access-token

You can also create an .env file based on the .env.example template.

Running the MCP Server

To start the MCP server, run:

```bash

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About

Details

Jump to

Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

Databricks Permissions MCP Server

Features

Available Tools

Permissions Management

Resource-Specific Permissions

Service Principals

Unity Catalog Permissions

Git Credentials Management

Installation

Prerequisites

Setup

Running the MCP Server

Install

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