# Databricks

**Type:** Community

**Source Type:** Repository

**Source:** [GitHub](https://github.com/JordiNeil/mcp-databricks-server)

**Description:** Databricks MCP server enables AI assistants to interact with Databricks lakehouse platform for data analytics and machine learning. It provides access to SQL warehouses, data queries, and workspace resources, facilitating intelligent data exploration and analysis workflows within the unified analytics environment.

**Configuration Parameters:**

* **Databricks Instance URL** \* - Databricks workspace instance URL
* **Databricks Token** \* - Authentication token for API access
* **Databricks HTTP Path for API requests** \* - HTTP path for API requests. Default: `/sql/1.0/warehouse/*********`

**Setup Steps:**

1. Log in to your Databricks workspace
2. Navigate to User Settings → Access Tokens
3. Click 'Generate New Token'
4. Set token lifetime and description
5. Copy the generated token immediately (it won't be shown again)
6. Locate your SQL warehouse HTTP path in Workspace → SQL Warehouses → Connection Details
7. Note your Databricks instance URL (e.g., <https://your-workspace.cloud.databricks.com>)

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