Databricks-provided MCP Services

Azure Databricks provides ready-to-use MCP Services in the system.ai schema. These services include workspace tools and integrations with common SaaS applications, so agents can reach these tools without hosting or registering their own MCP server.

Each service is a Unity Catalog securable invoked through Unity Gateway. Built-in services ship with platform-managed tools and a built-in service policy, such as one to block write operations. You govern them with grants rather than with custom tool selection or policy functions.

Workspace tools

Important

The DBSQL and sandbox MCP Services are in Beta.

MCP Service	Description
system.ai.dbsql	Runs SQL on a SQL warehouse using the caller's Unity Catalog and warehouse permissions.
system.ai.sandbox	Runs Python, SQL, or shell code in an isolated environment.

Connected applications

MCP Service	Connects to
system.ai.slack	Slack
system.ai.github	GitHub
system.ai.atlassian	Jira and Confluence
system.ai.google_drive	Google Drive
system.ai.google_calendar	Google Calendar
system.ai.gmail	Gmail
system.ai.microsoft_365	Microsoft 365 (SharePoint, Outlook, and Teams)

For Google Drive, Gmail, Google Calendar, and Microsoft 365, each user completes a one-time OAuth login before their first call. Open the service in Catalog Explorer and click Login.

Invoke a service

Address a service by its Unity Gateway URL, with its fully qualified Unity Catalog name in the path:

https://<workspace-hostname>/ai-gateway/mcp-services/system.ai.<service-name>

To call a service from agent code, see Use MCP tools in an agent.

Limitations

• system.ai.sandbox does not have network egress.