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8 clients · secrets stay placeholders

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

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

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

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "databricks-mcp": {
      "type": "remote",
      "url": "https://api.mcp.ai/p_databricks",
      "enabled": true
    }
  }
}

{
  "mcpServers": {
    "databricks-mcp": {
      "type": "http",
      "url": "https://api.mcp.ai/p_databricks"
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=databricks-mcp&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vYXBpLm1jcC5haS9wX2RhdGFicmlja3MifQ%3D%3D"
}

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

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

extensions:
  "databricks-mcp":
    enabled: true
    name: "databricks-mcp"
    type: streamable_http
    uri: "https://api.mcp.ai/p_databricks"
    timeout: 300

Quality 88 / 100good

protocol75 · weight 25

warn
protocol.modernnewest supported version is 2025-11-25; 2026-07-28 not supported, older versions are deprecated until 2027-07-28
n/a
protocol.statelessonly applies to 2026-07-28 servers
pass
protocol.transportstreamable HTTP
n/a
protocol.list_ttlonly applies to 2026-07-28 servers

authorizationn/a · weight 15

n/a
auth.prm, auth.as_metadata, auth.cimdno remote uses OAuth
n/a
auth.secret_in_urlno templated URL

tool hygiene93 · weight 30

pass
tools.descriptionsevery tool has a description
warn
tools.description_length1 tools have descriptions over 1,024 characters, which crowds the context
pass
tools.schemasevery tool has an object input schema
pass
tools.annotations17 of 17 tools declare readOnlyHint or destructiveHint
pass
tools.directory_hintsevery tool declares readOnlyHint, destructiveHint, idempotentHint and openWorldHint
pass
tools.token_costabout 2,666 tokens to load every tool
pass
tools.api_dumptools are not a one-to-one API dump

stability100 · weight 15

pass
stability.changesno tool changes in 30 days
pass
stability.rug_pullno tool changed its meaning under the same name

dependenciesn/a · weight 15

n/a
deps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI package

17 tools, about 2,666 tokens to load them all · tool set bda35ac9b8f1 · checked 2026-10-20 15:57 UTC

Tool changes

No tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 91 / 100

provenance80

liveness99

freshness85

hygiene100

+repository +namespace-matches-repo +reachable +uptime-97% ~updated-60d-ago

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Endpoints

remote	auth	reachable	uptime 30d	p50	protocol	last ok
`https://api.mcp.ai/p_databricks` streamable-http	none	yes	97%	162 ms	2025-11-25	2026-10-20

Tools (17)

`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, or with no args to get the link.
`connect`read-only	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.
`databricks_cancel_statement`	Cancela um ou mais statements em execução por id. Aceita lista (`statement_ids`).
`databricks_current_user`read-only	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`read-only	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`read-only	Detalha uma ou mais tabelas (colunas, tipos) por nome completo `catalog.schema.table`. Aceita lista (`full_names`).
`databricks_get_warehouse`read-only	Detalha um ou mais SQL warehouses por id. Aceita lista (`ids`).
`databricks_list_accounts`read-only	Lista os workspaces Databricks conectados a este install — host, label.
`databricks_list_catalogs`read-only	Lista os catálogos do Unity Catalog visíveis ao PAT (name, comment, owner).
`databricks_list_schemas`read-only	Lista os schemas (databases) de um catálogo Unity. Informe `catalog_name`.
`databricks_list_tables`read-only	Lista as tabelas de um schema Unity (name, table_type, data_source_format). Informe `catalog_name` e `schema_name`.
`databricks_list_warehouses`read-only	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`	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. PREFIRA queries parametrizadas (`parameters`) a interpolar valores na string (proteção contra SQL injection). SQL é arbitrário (pode DML/DDL) — confirme antes de mutar dados. Bulk support: accepts warehouse_ids for batched execution.
`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 (every tool with its id + params, pricing, auth) so you pick the right tool_id → invoke RUNS that tool. KEY: invoke works even when the MCP is NOT installed — it runs the tool pontualmente (one-off), without adding the MCP to the toolkit and without bloating the tool list. If the MCP needs a credential/login, invoke returns a connect link; if it is paid and the wallet is empty, invoke returns a checkout/top-up link (the user opens it, then you retry). Use install only to make an MCP PERMANENT in the active toolkit (its tools then show up natively in future sessions); prefer invoke for a single/occasional use. list_tools lists what is callable right now. subscribe/cancel handle per-MCP billing; report_bug sends feedback; request_mcp asks us to build a NEW MCP when nothing fits. Search/describe flag installed_in_toolkit vs installed_in_workspace. Writes (install/uninstall/subscribe/cancel and the one-off install behind invoke) require workspace owner/admin. It also carries the mcp.ai PROMPT LIBRARY, which is about ready-made prompt TEXT rather than MCPs: search_prompts finds one, get_prompt returns its full text with {{variables}} filled, and publish_prompt saves a prompt and returns a shareable mcp.ai/p/<slug> link that opens without login.
`report_bug`	Report a bug, missing feature, or send feedback. Include the conversation array with recent messages for reproduction.
`show_version`read-only	Show the current MCP platform and adapter versions.
`toolkit_info`read-only	Returns the current toolkit state: installed MCPs, their connection status, the accounts connected to each one, and how many catalog tools each exposes.

Schemas: list_tools.

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Official server.json

{
  "name": "io.github.mcp-dir/databricks-mcp",
  "title": "Databricks",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "remotes": [
    {
      "url": "https://api.mcp.ai/p_databricks",
      "type": "streamable-http"
    }
  ],
  "version": "0.1.0",
  "repository": {
    "url": "https://github.com/mcp-dir/databricks-mcp",
    "source": "github"
  },
  "description": "Your Databricks Lakehouse in natural language: run SQL on your SQL warehouses, track long-running qu"
}