Scale AI MCP Server with 11 Tools for Claude, Cursor, and AI Agents
GDPR Free for SubscribersAutomate high-quality data labeling and RLHF workflows via Scale AI — create projects, manage batches, and submit annotation tasks directly from your AI agent. Vinkius routes your AI agents directly to Scale AI through a governed connection. 11 tools ready to use with Claude, ChatGPT, Cursor, or any AI agent — no hosting, no setup, connect in 30 seconds.
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Compatible with every major AI agent and IDE
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What is the Scale AI MCP Server?
The Scale AI MCP Server routes AI agents like Claude, ChatGPT, and Cursor directly to Scale AI via 11 tools. Automate high-quality data labeling and RLHF workflows via Scale AI — create projects, manage batches, and submit annotation tasks directly from your AI agent. Powered by Vinkius — your credentials stay on your side of the connection, every request is auditable. Connect in under 2 minutes.
Built-in capabilities (11)
Tools for your AI Agents to operate Scale AI
Ask your AI agent "Create a new image annotation project called 'Lidar-Obstacles' for imageannotation." and get the answer without opening a single dashboard. With 11 tools connected to real Scale AI data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by Vinkius — your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you the infrastructure to connect your AI agents to thousands of MCP servers — and deploy your own to the Vinkius Edge. Your credentials stay yours. Your data flows directly between your agent and the API. DLP blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade routing and governance, zero maintenance.
Build your own MCP Server with our secure development framework →The Scale AI App Connector works with every AI agent you already use
…and any MCP-compatible client
Use all 11 Scale AI tools with your AI agents right now
Vinkius routes your AI agents to Scale AI through a governed proxy. Beyond a simple connection, you get full visibility into every action your agents perform, with enterprise-grade security and up to 60% savings on AI costs.
Cancel task on Scale AI
Optionally clears the unique_id to reuse it. Cancel a pending task
Create batch on Scale AI
Create a new batch
Create image annotation task on Scale AI
Create an Image Annotation task
Create named entity recognition task on Scale AI
Create a Named Entity Recognition task
Create project on Scale AI
Create a new Scale project
Create segment annotation task on Scale AI
Create a Semantic Segmentation task
Create text collection task on Scale AI
Create a Text Collection task
Create video playback annotation task on Scale AI
Create a Video Annotation task
Finalize batch on Scale AI
Finalize a batch
Get task on Scale AI
Retrieve a specific task
Update project params on Scale AI
Update project parameters
What the Scale AI MCP Server unlocks
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.
Frequently asked questions about the Scale AI MCP Server
How do I start a high-volume labeling job using batches?
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.
Can I check the status of a specific annotation task?
Yes, use the get_task tool with the specific Task ID. It will return the full metadata, current status, and any available results for that unit of work.
What should I do if I submitted a task by mistake?
You can use the cancel_task tool with the Task ID. If you need to reuse the unique identifier, you can also set the clear_unique_id parameter to true.
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We built the connector to Scale AI. Now put your agents to work. Fully governed.
Vinkius is the AI Gateway with managed hosting. Stop building connectors. Every connection runs inside eight layers of security.
Hosted, sandboxed, and live on AWS. You don't provision anything. You don't maintain anything. You connect.
Every tool call, every token, every response. Logged and auditable. Data flows direct from Scale AI to your agent. Nothing is stored on our side. Ever.
Eight governance layers on every request. Sensitive data redacted before it reaches the model. Kill switch if anything goes sideways. Always on.