Databricks for LangChain
io.github.mcp-dir/databricks-mcp
Your Databricks Lakehouse in natural language: run SQL on your SQL warehouses, track long-running qu
client:LangChain
transport:streamable-http
tools:17
Install Databricks in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"databricks-mcp": {
"transport": "streamable_http",
"url": "https://api.mcp.ai/p_databricks",
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs
What LangChain can do once it is connected
- databricks_list_accounts
- databricks_current_user
- databricks_list_warehouses
- databricks_get_warehouse
- databricks_run_sql
- databricks_get_statement
- databricks_cancel_statement
- databricks_list_catalogs
- databricks_list_schemas
- databricks_list_tables
- databricks_get_table
- show_version
- report_bug
- connect
- toolkit_info
- marketplace
- authenticate