Scale AI provides data labeling and annotation services for machine learning, offering access to a global workforce and sophisticated tools for training AI models with high-quality labeled data.

Use it from your agent

One ClawLink account serves every agent you run. Pick the guide for yours, or connect Scale ai once and call the same tools from all of them.

Scale ai for OpenClawInstall, pair, connect, first prompt

Scale ai for Hermes AgentInstall, pair, connect, first prompt MCPClaude Code, Cursor, any MCP clientCLI login or the remote MCP server

Setup

Connect Scale ai through ClawLink's hosted setup.

Auth: Paste one API key. The credential stays on the ClawLink server; your agent holds only a ClawLink key you can revoke.
Where: the ClawLink dashboard, or ask your agent to connect it.

What your agent can do

Scale ai exposes 40 tools through ClawLink. The 30 most used are listed here; your agent sees all of them.

Tool	What it does	Kind
`scale_ai_get_assets`	Retrieve file assets with filtering capabilities by project and metadata	Read
`scale_ai_get_batch`	Retrieve the details of a batch with the specified name	Read
`scale_ai_get_batch_status`	Retrieve the current status of a batch and task completion counts	Read
`scale_ai_get_fixless_audits`	Retrieve fixless audits by task ID or audit ID	Read
`scale_ai_get_project`	Retrieve details about a specific Scale AI project using its unique identifier	Read
`scale_ai_get_quality_labelers`	Retrieve training attempts matching provided filter parameters	Read
`scale_ai_get_studio_assignments`	Retrieve current project assignments of all active team users in Scale AI Studio	Read
`scale_ai_get_studio_batches`	Retrieve basic information about all pending batches in Studio	Read
`scale_ai_get_teams`	Retrieve basic information about all team members associated with the account	Read
`scale_ai_get_v1_task`	Retrieve detailed information about a specific task using its task ID	Read
`scale_ai_get_v1_task_response_url`	Retrieve secure authenticated task response data	Read
`scale_ai_list_batches`	Retrieve all batches in descending order by creation date	Read
`scale_ai_list_projects`	Retrieve information for all projects in the Scale AI account with optional archived filtering	Read
`scale_ai_list_tasks`	Retrieve a paginated list of tasks in descending order by creation time	Read
`scale_ai_add_studio_assignments`	Add project assignments to team members in Scale AI Studio	Write
`scale_ai_add_task_tags`	Add tags to an existing task	Write
`scale_ai_create_batch`	Create a new batch within a project	Write
`scale_ai_create_document_transcription_task`	Create a document transcription task where workers transcribe and annotate information from	Write
`scale_ai_create_image_annotation_task`	Create an image annotation task where annotators label images with vector geometric shapes	Write
`scale_ai_create_lidar_annotation_task`	Create a lidar annotation task where annotators mark objects with 3D cuboids in 3D space	Write
`scale_ai_create_lidar_segmentation_task`	Create a LiDAR segmentation task where annotators assign semantic class labels to individual	Write
`scale_ai_create_named_entity_recognition_task`	Create a named entity recognition task for labelers to highlight text entity mentions	Write
`scale_ai_create_segmentation_annotation_task`	Create a segmentation task where annotators classify pixels in an image according to provided	Write
`scale_ai_create_text_collection_task`	Create a textcollection task for collecting information from attachments and/or web sources	Write
`scale_ai_create_video_annotation_task`	Create a video annotation task where annotators draw geometric shapes around specified objects	Write
`scale_ai_create_video_playback_annotation_task`	Create a video playback annotation task where annotators draw shapes around specified objects	Write
`scale_ai_finalize_batch`	Finalize a batch so its tasks can be worked on	Read
`scale_ai_import_file`	Import files from an external URL endpoint into Scale's system rather than uploading directly	Read
`scale_ai_invite_team_member`	Invite users by email to team with specified role	Write
`scale_ai_post_v1_task_send_callback`	Re-send a callback for a completed or errored task to the callback_url	Write