MCP server

Databricks

io.github.mcp-dir/databricks-mcp

Checked 25 Oct 2026, 20:29 UTC · Connected to it and listed its tools

Your Databricks Lakehouse in natural language: run SQL on your SQL warehouses, track long-running qu

Source

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

17

Token cost

About 2,688 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

25 Oct 2026, 20:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http databricks-mcp https://api.mcp.ai/p_databricks

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.databricks-mcp]
url = "https://api.mcp.ai/p_databricks"

Gemini CLI

{"mcpServers":{"databricks-mcp":{"httpUrl":"https://api.mcp.ai/p_databricks"}}}

Cursor

{"mcpServers":{"databricks-mcp":{"url":"https://api.mcp.ai/p_databricks"}}}

VS Code

{"servers":{"databricks-mcp":{"type":"http","url":"https://api.mcp.ai/p_databricks"}}}

Antigravity

agy mcp add databricks-mcp https://api.mcp.ai/p_databricks

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"databricks-mcp","server_url":"https://api.mcp.ai/p_databricks","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"databricks-mcp","server_url":"https://api.mcp.ai/p_databricks"}

Tools

• databricks_cancel_statement ~101 tokens
  Cancela um ou mais statements em execução por id. Aceita lista (`statement_ids`).
• databricks_current_user ~89 tokens
  Identifica o usuário do PAT no workspace (whoami via SCIM Me). Útil pra confirmar qual conta/host está conectado e validar o token.
• databricks_get_statement ~120 tokens
  Status + resultado de um ou mais statements por id (polling de queries longas que voltaram PENDING/RUNNING do run_sql). Aceita lista (`statement_ids`).
• databricks_get_table ~107 tokens
  Detalha uma ou mais tabelas (colunas, tipos) por nome completo `catalog.schema.table`. Aceita lista (`full_names`).
• databricks_get_warehouse ~89 tokens
  Detalha um ou mais SQL warehouses por id. Aceita lista (`ids`).
• databricks_list_accounts ~72 tokens
  Lista os workspaces Databricks conectados a este install — host, label.
• databricks_list_catalogs ~73 tokens
  Lista os catálogos do Unity Catalog visíveis ao PAT (name, comment, owner).
• databricks_list_schemas ~90 tokens
  Lista os schemas (databases) de um catálogo Unity. Informe `catalog_name`.
• databricks_list_tables ~115 tokens
  Lista as tabelas de um schema Unity (name, table_type, data_source_format). Informe `catalog_name` e `schema_name`.
• databricks_list_warehouses ~103 tokens
  Lista os SQL warehouses do workspace (id, name, state, cluster_size, warehouse_type). Use o `id` em databricks_run_sql (ou deixe o run_sql escolher um RUNNING automaticamente).
• databricks_run_sql ~346 tokens
  Executa uma instrução SQL num SQL warehouse (Statement Execution API). Retorna colunas + linhas quando termina dentro do wait_timeout; senão devolve statement_id + state pra polling via databricks_get_statement. Se `warehouse_id` não for informado, escolhe um warehouse RUNNING automaticamente. PREFI

Browse

• GitHub tools
• GitHub and code hosting
• Databases

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