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Scale AI MCP Server for ClineGive Cline instant access to 11 tools to Cancel Task, Create Batch, Create Image Annotation Task, and more

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Cline is an autonomous AI coding agent inside VS Code that plans, executes, and iterates on tasks. Wire Scale AI through Vinkius and Cline gains direct access to every tool. from data retrieval to workflow automation. without leaving the terminal.

Ask AI about this MCP Server for Cline

The Scale AI MCP Server for Cline 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

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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.

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Scale AI
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.

Cline operates autonomously inside VS Code. it reads your codebase, plans a strategy, and executes multi-step tasks including Scale AI tool calls without waiting for prompts between steps. Connect 11 tools through Vinkius and Cline can fetch data, generate code, and commit changes in a single autonomous run.

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 Cline 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 Cline

When Cline 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 Cline via MCP

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

01

Open Cline MCP Settings

Click the MCP Servers icon in the Cline sidebar panel
02

Add remote server

Click "Add MCP Server" and paste the configuration above
03

Enable the server

Toggle the server switch to ON
04

Start using Scale AI

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

Why Use Cline with the Scale AI MCP Server

Cline provides unique advantages when paired with Scale AI through the Model Context Protocol.

01

Cline operates autonomously. it reads your codebase, plans a strategy, and executes multi-step tasks including MCP tool calls without step-by-step prompts

02

Runs inside VS Code, so you get MCP tool access alongside your existing extensions, terminal, and version control in a single window

03

Cline can create, edit, and delete files based on MCP tool responses, enabling end-to-end automation from data retrieval to code generation

04

Transparent execution: every tool call and file change is shown in Cline's activity log for full visibility and approval before committing

Scale AI + Cline Use Cases

Practical scenarios where Cline combined with the Scale AI MCP Server delivers measurable value.

01

Autonomous feature building: tell Cline to fetch data from Scale AI and scaffold a complete module with types, handlers, and tests

02

Codebase refactoring: use Scale AI tools to validate live data while Cline restructures your code to match updated schemas

03

Automated testing: Cline fetches real responses from Scale AI and generates snapshot tests or mocks based on actual payloads

04

Incident response: query Scale AI for real-time status and let Cline generate hotfix patches based on the findings

Example Prompts for Scale AI in Cline

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

01

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

02

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

03

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

Troubleshooting Scale AI MCP Server with Cline

Common issues when connecting Scale AI to Cline through Vinkius, and how to resolve them.

01

Server shows error in sidebar

Click the server name to see logs. Verify the URL and token are correct.

Scale AI + Cline FAQ

Common questions about integrating Scale AI MCP Server with Cline.

01

How does Cline connect to MCP servers?

Cline reads MCP server configurations from its settings panel in VS Code. Add the server URL and Cline discovers all available tools on initialization.
02

Can Cline run MCP tools without approval?

By default, Cline asks for confirmation before executing tool calls. You can configure auto-approval rules for trusted servers in the settings.
03

Does Cline support multiple MCP servers at once?

Yes. Configure as many servers as needed. Cline can use tools from different servers within the same autonomous task execution.

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