Hello,

Thank you for being a Labelbox customer. You can find all our product release notes here.

App

Added

The Labelbox MCP server: You can now connect AI assistants such as Claude, ChatGPT, Cursor, and Codex to your Labelbox workspace through the Labelbox MCP server. Your agent can check project progress, throughput, and quality, review workflow queues, and set up new projects, all within your existing permissions. A workspace admin must first allow external MCP connections in workspace settings. See our docs on the Labelbox MCP server to learn more.
Filter for data rows hidden from labelers: In the Data Rows tab, you can now filter for data rows that are hidden from labelers, so you can quickly find and review them.
IP restrictions for API keys: When you create an API key, you can now restrict it to specific IP addresses or IP ranges using CIDR notation.

The following models are now available in the Model tab:

Changed

Simplified per-person task limits in queue settings: Queue settings now use two per-person limits. “Max reserved” is the maximum number of tasks one person can hold at a time in a queue. “Max completed” is the maximum number of tasks one person can complete in a queue (leave it blank for no limit). A single override applies to both limits, and you can set it by person, user group, or trusted tier.

Text entity support for more Foundry models: You can now generate text entity pre-labels in Foundry with all current models, not just GPT-4. This includes the GPT-5 family, GPT-6 Astra, o4-mini, Claude Opus and Sonnet 4.5 through 4.8, Claude Sonnet 5, and Gemini 3 through 3.8.
Fixed member search in Workspace settings: Previously, searching for a project-based user under Workspace settings → Members → Workspace returned “No members found.” The Workspace subtab now shows both workspace-based and project-based members, and project-based users have a “Project-based” chip in the Workspace Role column.
Fixed frame centering in Video Timeline V2: When you select a frame in Video Timeline V2, the timeline now scrolls automatically to keep the selected frame centered, as it did in the original timeline. Previously you had to scroll manually to keep your selection in view.

Removed

Python SDK

To view the latest updates to our Python SDK, see the What's new section in the developer guides.

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Thank you,

The Labelbox team

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