Releasesby GlyphGemini Enterprise: Custom MCP server data stores
You can connect your custom Model Context Protocol (MCP) server with Gemini Enterprise to securely access your company's private data, custom internal tools, and MCP-compliant third-party systems. This feature is turned off by default. To enable it, an Organization Policy Administrator must remove the organization constraint.
Also shipped Aug 7, 2026Google Cloud in August 2026 →
DCM Projects (General availability)
DCM Projects are now generally available and are no longer in Preview . DCM Projects enable a declarative approach to managing Snowflake objects as code. You define the desired target state of your databases, tables, tasks, and other Snowflake objects in definition files, and Snowflake determines and applies the necessary changes to reach that state.
Snowflake Native Apps: Cortex Agents and MCP servers (General availability)
Cortex Agents and MCP servers in Snowflake Native Apps are now generally available. Providers can create the following objects in an app’s setup script: Apps can also use inter-app communication so that one app’s agent calls another app’s agent or MCP server.
Tag automations (Beta)
Tag automations are now in Beta . A tag automation assigns or removes governed tags on the Unity Catalog tables or volumes that match conditions you define, so tags stay accurate as your data and metadata change.
Change data feed on materialized views (Beta)
You can now read a change data feed from a materialized view created in a Lakeflow pipeline or in Databricks SQL, using Databricks Runtime 18 LTS or above. Use this to replicate materialized view changes to destinations outside Databricks, or to keep a history of materialized view changes for auditing and reporting.
ai_search function (Beta)
The ai_search() SQL function retrieves information from one or more AI Search indexes configured as knowledge sources. Given a natural-language query, the function generates optimized search queries, retrieves and deduplicates results across sources, reranks them by relevance, and returns the most relevant documents.
Claude Managed Agents sessions support hard spend budgets
A session budget caps spend at public list rates; when reached, the session pauses with the budget_reached stop reason instead of starting new model requests. Deployments can apply the same budget to every session they start.
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Gemini Enterprise: Experimental agent telemetry aligned with OpenTelemetry generative AI semantic conventions
Gemini Enterprise agents emit richer, standards-aligned telemetry based on the OpenTelemetry generative AI semantic conventions, in addition to the existing stable telemetry.
Gemini Enterprise: Description field removed from Custom MCP server data store
Gemini Enterprise automatically calls your server's tools/list endpoint to discover and understand tools, parameter schemas, and capabilities directly. Because Gemini Enterprise routes requests using explicit tool definitions and parameter schemas, you don't need to write descriptions. This change simplifies data store setup and improves routing accuracy.
Gemini Enterprise: Postponed removal of Gemini 3.5 Flash in the Global region
We have postponed the removal of Gemini 3.5 Flash from the global region in the Gemini Enterprise app. A revised removal schedule will be provided when available. Note: This is a correction to the July 21, 2026 release note .
Gemini Enterprise: Clinical Trials data store no longer available
The Clinical Trials data store is no longer available in Public Preview. The data store has returned to Private Preview. Note: This is a correction to the April 14, 2026 release note.
Gemini Enterprise: Export user data to a CSV file
Gemini Enterprise administrators can export user data to a comma-separated values (CSV) file to sort, filter, and analyze records offline. This feature is generally available (GA). For more information, see Export user data .
Gemini Enterprise: End-to-end tracing support for data connectors
Tracing support is extended end-to-end across the data connector workflow, introducing two new trace spans for better observability: execute_tool : Represents the execution of a tool on the agent orchestration layer. invoke_connector : Represents the request logic and execution on the connector execution layer.
Gemini Enterprise: New data stores and support for new actions (Public Preview)
The following data stores are available in Public Preview in Gemini Enterprise: Cisco Workspaces Fibery Gong Guru Hex LegalZoom Mercury Miro Ramp Solve Intelligence Vanta Webex Meetings You can search and read data from these data stores using natural language.
Gemini Enterprise: Manage overages, spend limits, and costs for invoiced Cloud Billing accounts
If your project has an invoiced Cloud Billing account and at least one active, non-free-trial subscription, administrators can enable overages, configure monthly spend limits, and monitor feature usage and costs in Gemini Enterprise: Enable overages : Allow users to continue using features at pay-as-you-go rates after reaching pooled quotas.