VS Code CopilotIDE

Scale AI MCP Server

Bring Data Labeling
to VS Code Copilot

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

Learn how to connect Scale AI to VS Code Copilot 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 VS Code Copilot?

GitHub Copilot Agent mode brings Scale AI data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 11 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

—
VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor
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Project-scoped MCP configs (.vscode/mcp.json) let you commit server configurations to your repository, ensuring the entire team shares the same tool access
—
Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop
—
GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services

See it in action

Scale AI in VS Code Copilot

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 VS Code Copilot 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 VS Code Copilot →

Enterprise Security

Why teams choose Vinkius for Scale AI in VS Code Copilot

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 VS Code Copilot 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 VS Code Copilot

Every tool call from VS Code Copilot 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.

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.