MCP For Claude Marketplace
Scale AI

Scale AI MCP Connector for Claude

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Automate high-quality data labeling and RLHF workflows via Scale AI — create projects, manage batches, and submit annotation tasks directly from your AI agent.

11 tools Official Updated Jun 28, 2026 Official Vinkius Partner
More Details Connect to Claude

Connect your Scale AI account to any AI agent to orchestrate large-scale data labeling and fine-tuning pipelines through natural conversation.

What you can do

  • Project Management — Create and configure projects for specific labeling types like image annotation or semantic segmentation.
  • Batch Operations — Organize high-volume work into batches and finalize them to trigger the labeling process.
  • Multi-Modal Tasks — Submit tasks for Image Annotation, Semantic Segmentation, and Video Playback directly via API.
  • Task Lifecycle — Retrieve detailed status of individual tasks or cancel pending ones to manage your budget and throughput.
  • Parameter Tuning — Update project-level instructions and parameters dynamically to refine labeling quality.

How it works

  1. Subscribe to this server
  2. Enter your Scale AI Live API Key
  3. Start managing your data pipelines from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • ML Engineers — automate the submission of edge cases for labeling directly from training scripts or analysis notebooks.
  • Data Operations Managers — monitor batch progress and update labeling instructions without leaving the chat interface.
  • AI Researchers — quickly spin up RLHF or annotation projects to validate new model datasets.
data-labelingrlhfmachine-learningannotationtraining-dataproject-management

11 tools expose this connector's capabilities to your AI agent.

cancel_task

Optionally clears the unique_id to reuse it. Cancel a pending task

create_batch

Create a new batch

create_image_annotation_task

Create an Image Annotation task

create_named_entity_recognition_task

Create a Named Entity Recognition task

create_project

Create a new Scale project

create_segment_annotation_task

Create a Semantic Segmentation task

create_text_collection_task

Create a Text Collection task

create_video_playback_annotation_task

Create a Video Annotation task

finalize_batch

Finalize a batch

get_task

Retrieve a specific task

update_project_params

Update project parameters

See how to talk to your AI agent using Scale AI.

Create a new image annotation project called 'Lidar-Obstacles' for imageannotation.

I've created the project 'Lidar-Obstacles'. You can now start creating batches or submitting tasks to this project.

Submit an image annotation task to project 'Lidar-Obstacles' with the image URL 'https://example.com/car.jpg'.

Task created successfully. The Task ID is 'task_abc123'. You can track its progress using the get_task tool.

Finalize the batch named 'sprint-01-batch'.

Batch 'sprint-01-batch' has been finalized. Scale will now begin processing the tasks within this batch.

First, use `create_batch` to initialize a group for your project. After submitting your tasks to this batch, call `finalize_batch` to signal Scale to begin the labeling process.

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