Enables interaction with Databricks clusters, jobs, and notebooks via the Model Completion Protocol.
Enables interaction with Databricks clusters, jobs, and notebooks via the Model Completion Protocol.
A production-ready Model Context Protocol (MCP) server that exposes Databricks REST capabilities to MCP-compatible agents and tooling. Version 0.4.4 introduces structured responses, resource caching, retry-aware networking, and end-to-end resilience improvements.
uv for dependency management and publishingCompare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
{
"mcpServers": {
"databricks-mcp-local": {
"command": "uvx",
"args": ["databricks-mcp-server@latest"],
"env": {
"DATABRICKS_HOST": "https://your-workspace.databricks.com",
"DATABRICKS_TOKEN": "dapiXXXXXXXXXXXXXXXX",
"DATABRICKS_WAREHOUSE_ID": "sql_warehouse_12345",
"RUNNING_VIA_CURSOR_MCP": "true"
}
}
}
}Configuration as documented by the project. Restart the client after saving.
uv for dependency management and publishing| Variable | Description | Required |
|---|---|---|
| DATABRICKS_HOST | Endpoint or connection string the server talks to. | Optional |
| DATABRICKS_TOKEN | Credential the server authenticates with. | Yes |
| DATABRICKS_WAREHOUSE_ID | Configuration value read at startup. | Optional |
| RUNNING_VIA_CURSOR_MCP | Configuration value read at startup. | Optional |
| TOOL_TIMEOUT_SECONDS | Configuration value read at startup. | Optional |
| MAX_CONCURRENT_REQUESTS | Configuration value read at startup. | Optional |
| HTTP_TIMEOUT_SECONDS | Configuration value read at startup. | Optional |
| API_MAX_RETRIES | Configuration value read at startup. | Optional |
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