Scale AI MCP Server for VS Code CopilotGive VS Code Copilot instant access to 11 tools to Cancel Task, Create Batch, Create Image Annotation Task, and more

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

GDPR Free for Subscribers

GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.

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The Scale AI MCP Server for VS Code Copilot is a standout in the Ai Frontier category — giving your AI agent 11 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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+ other MCP clients

Classic Setup·json

{
  "mcpServers": {
    "scale-ai": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install Scale AI and 4,000+ MCP Servers from a single visual interface.

Download Free Open SourceNo signup required

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

About 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.

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.

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.

The Scale AI MCP Server exposes 11 tools through the Vinkius. Connect it to VS Code Copilot in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 11 Scale AI tools available for VS Code Copilot

When VS Code Copilot connects to Scale AI through Vinkius, your AI agent gets direct access to every tool listed below — spanning data-labeling, rlhf, machine-learning, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

cancel

Cancel task on Scale AI

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

create

Create batch on Scale AI

Create a new batch

create

Create image annotation task on Scale AI

Create an Image Annotation task

create

Create named entity recognition task on Scale AI

Create a Named Entity Recognition task

create

Create project on Scale AI

Create a new Scale project

create

Create segment annotation task on Scale AI

Create a Semantic Segmentation task

create

Create text collection task on Scale AI

Create a Text Collection task

create

Create video playback annotation task on Scale AI

Create a Video Annotation task

finalize

Finalize batch on Scale AI

Finalize a batch

get

Get task on Scale AI

Retrieve a specific task

update

Update project params on Scale AI

Update project parameters

Connect Scale AI to VS Code Copilot via MCP

Follow these steps to wire Scale AI into VS Code Copilot. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Create MCP config

Create a .vscode/mcp.json file in your project root

Add the server config

Paste the JSON configuration above

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown

Start using Scale AI

Ask Copilot: "Using Scale AI, help me...". 11 tools available

Why Use VS Code Copilot with the Scale AI MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with Scale AI through the Model Context Protocol.

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

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

Scale AI + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the Scale AI MCP Server delivers measurable value.

Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step

DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review

Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses

Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples

Example Prompts for Scale AI in VS Code Copilot

Ready-to-use prompts you can give your VS Code Copilot agent to start working with Scale AI immediately.

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

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

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

Troubleshooting Scale AI MCP Server with VS Code Copilot

Common issues when connecting Scale AI to VS Code Copilot through Vinkius, and how to resolve them.

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.

Scale AI + VS Code Copilot FAQ

Common questions about integrating Scale AI MCP Server with VS Code Copilot.

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.