CursorIDE

Scale AI MCP Server

Bring Data Labeling
to Cursor

Name: Scale AI MCP Server
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

Learn how to connect Scale AI to Cursor and start using 11 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

GDPR Free for Subscribers

Cancel TaskCreate BatchCreate Image Annotation TaskCreate Named Entity Recognition TaskCreate ProjectCreate Segment Annotation TaskCreate Text Collection TaskCreate Video Playback Annotation TaskFinalize BatchGet TaskUpdate Project Params

Unlock for AI Agents

Ask AI about this MCP Server ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

What is the Scale AI MCP Server?

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

Subscribe to this server
Enter your Scale AI Live API Key
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.

Built-in capabilities (11)

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

Why Cursor?

Cursor's Agent mode turns Scale AI into an in-editor superpower. Ask Cursor to generate code using live data from Scale AI and it fetches, processes, and writes. all in a single agentic loop. 11 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.

—
Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
—
Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards
—
MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
—
VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools

See it in action

Scale AI in Cursor

AI Agent→Vinkius

High Security·Kill Switch·Plug and Play

Why Vinkius

Scale AI and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Scale AI to Cursor through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready

<40msCold start

60%Token savings

	Raw MCP	Vinkius
Server catalog	Find and host yourself	4,000+ managed
Infrastructure	Self-hosted	Sandboxed V8 isolates
Credential handling	Plaintext in config	Vault + runtime injection
Data loss prevention	None	Configurable DLP policies
Kill switch	None	Global instant shutdown
Financial circuit breakers	None	Per-server limits + alerts
Audit trail	None	Ed25519 signed logs
SIEM log streaming	None	Splunk, Datadog, Webhook
Honeytokens	None	Canary alerts on leak
Custom domains	Not applicable	DNS challenge verified
GDPR compliance	Manual effort	Automated purge + export

Unlock for AI Agents View step-by-step setup guide for Cursor →

Enterprise Security

Why teams choose Vinkius for Scale AI in Cursor

The Scale AI MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 11 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Cursor only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Unlock for AI Agents View full Scale AI details →

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

The Vinkius Advantage

How Vinkius secures
Scale AI for Cursor

Every tool call from Cursor to the Scale AI MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start

Ed25519Signed audit chain

60%Token savings

FAQ

Frequently asked questions

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.

What is Agent mode and why does it matter for MCP?

Agent mode is Cursor's autonomous execution mode where the AI can perform multi-step tasks: reading files, editing code, running terminal commands, and calling MCP tools. Without Agent mode, Cursor operates in a simpler ask-and-answer mode that doesn't support tool calling. Always ensure you're in Agent mode when working with MCP servers.

Where does Cursor store MCP configuration?

Cursor looks for MCP server configurations in a mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.

Can Cursor use MCP tools in inline edits?

No. MCP tools are only available in Agent mode through the chat panel. Inline completions and Tab suggestions do not trigger MCP tool calls. This is by design. tool calls require user visibility and approval.

How do I verify MCP tools are loaded?

Open Settings → Features → MCP and look for your server name. A green indicator means the server is connected. You can also check Agent mode's available tools by clicking the tools dropdown in the chat panel.