io.github.mcp-dir/databricks-mcp · v0.1.0 · data-and-databases
Databricks is healthy: it completed an MCP handshake in 1117 ms and exposes 17 tools. It scores 60/100.
Your Databricks Lakehouse in natural language: run SQL on your SQL warehouses, track long-running qu
Endpoint: https://api.mcp.ai/p_databricks (streamable-http)
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| health | 21.5 / 25 |
| authEase | 15 / 15 |
| toolQuality | 15 / 15 |
| maintenance | 5 / 15 |
| adoption | 0 / 10 |
| usage | 0 / 10 |
| security | 8 / 10 |
| penalties | −5 |
Scoring v0.3, computed 2026-10-15T05:11:03.259Z.
| Checked (UTC) | Status | Latency | Error |
|---|---|---|---|
| 2026-10-15T05:10:37.352Z | Healthy | 1117 |
databricks_list_accounts | Lista os workspaces Databricks conectados a este install — host, label. |
databricks_current_user | Identifica o usuário do PAT no workspace (whoami via SCIM Me). Útil pra confirmar qual conta/host está conectado e validar o token. |
databricks_list_warehouses | 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_get_warehouse | Detalha um ou mais SQL warehouses por id. Aceita lista (`ids`). |
databricks_run_sql | 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 |
databricks_get_statement | 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_cancel_statement | Cancela um ou mais statements em execução por id. Aceita lista (`statement_ids`). |
databricks_list_catalogs | Lista os catálogos do Unity Catalog visíveis ao PAT (name, comment, owner). |
databricks_list_schemas | Lista os schemas (databases) de um catálogo Unity. Informe `catalog_name`. |
databricks_list_tables | Lista as tabelas de um schema Unity (name, table_type, data_source_format). Informe `catalog_name` e `schema_name`. |
databricks_get_table | Detalha uma ou mais tabelas (colunas, tipos) por nome completo `catalog.schema.table`. Aceita lista (`full_names`). |
show_version | Show the current MCP platform and adapter versions. |
report_bug | Report a bug, missing feature, or send feedback. Include the conversation array with recent messages for reproduction. |
connect | Returns connection status and URLs. When all providers are connected, returns authenticated:true and empty pending[]. When credentials are missing, returns connect_url for the toolkit and per-install URLs. |
toolkit_info | Returns the current toolkit state: installed MCPs, their connection status, the accounts connected to each one, and how many catalog tools each exposes. |
marketplace | The official mcp.ai marketplace — the in-platform catalog of every MCP/tool, AND the way to run them. Covers capability requests like "find an MCP that does X", "consulta um CPF", "is there a tool for Y". Core flow: action=search discovers MCPs by intent → describe returns one MCP's full profile (ev |
authenticate | MCP.AI for IDE agents (Cursor, etc.): log in in the browser, copy the access token. Best: add it to this server's config as a header `Authorization: Bearer <token>` for a permanent, non-expiring connection. Or paste it here for a session-only login: call with { token: "<jwt>" } after the user pastes |