Databricks-provided MCP Services
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 have platform-managed tools, so you cannot change their tool selection. You can govern who invokes them with grants and govern individual calls with service policies.
Workspace tools
The DBSQL, web search, and sandbox MCP Services are in Beta. The Genie One MCP Service is generally available.
MCP Service | Description |
|---|---|
Answers natural-language analytics questions across your workspace with Genie One, grounded in Genie Ontology. | |
Runs SQL on a SQL warehouse using the caller's Unity Catalog and warehouse permissions. | |
| Searches the public web and returns a synthesized answer with citations. See Web search on Databricks. |
| Runs Python, SQL, or shell code in an isolated environment. |
Connected applications
MCP Service | Connects to |
|---|---|
| Slack |
| GitHub |
| Jira and Confluence |
| Google Drive |
| Google Calendar |
| Gmail |
| 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.
Connected applications call third-party services. Review these services to confirm they meet your enterprise requirements, including compliance requirements. To restrict which providers the services can reach, see Control network access to providers. To restrict who can invoke them, see Control who can invoke an MCP Service.
Enable GitHub private repository access
By default, system.ai.github can access only public repositories. To give it access to private enterprise repositories, a GitHub organization administrator must complete the following steps:
-
Install the Databricks GitHub connector app on your GitHub organization so it can access your private repositories.
For AWS GovCloud, use the databricks-gh-connector-gov-cloud app instead.
-
Allowlist the Databricks serverless outbound IPs for your workspace's cloud and region. For the list of IP addresses, see IP addresses and domains for Databricks services and assets. For instructions on configuring allowed IP addresses for your GitHub organization, see Managing allowed IP addresses for your organization.
After administrator setup is complete, users in your organization can access private repositories through system.ai.github.
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.web_searchis not available in workspaces with HIPAA/BAA compliance enabled. It is available in supported US regions or in workspaces that allow cross-Geo processing.
system.ai.sandboxdoes not have network egress.- Connected application MCP Services call third-party MCP servers or APIs. Before using a connected application MCP Service, verify that the provider's service and your intended use meet your organization's compliance requirements:
system.ai.slack: Slack MCP serversystem.ai.github: GitHub MCP serversystem.ai.atlassian: Atlassian Rovo MCP serversystem.ai.google_drive: Google Drive, Docs, Sheets, and Slides APIssystem.ai.google_calendar: Google Calendar APIsystem.ai.gmail: Gmail APIsystem.ai.microsoft_365: Microsoft Graph