Scale AI MCP Server for CursorGive Cursor instant access to 11 tools to Cancel Task, Create Batch, Create Image Annotation Task, and more
GDPR Free for SubscribersCursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.
Ask AI about this MCP Server for Cursor
The Scale AI MCP Server for Cursor is a standout in the Ai Frontier category — giving your AI agent 11 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Gemini{
"mcpServers": {
"scale-ai": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}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.
* 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.
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.
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 Cursor 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 Cursor
When Cursor 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 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
Connect Scale AI to Cursor via MCP
Follow these steps to wire Scale AI into Cursor. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Open MCP Settings
Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"Add the server config
mcp.json file that opensSave the file
Start using Scale AI
Why Use Cursor with the Scale AI MCP Server
Cursor AI Code Editor provides unique advantages when paired with Scale AI through the Model Context Protocol.
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
Scale AI + Cursor Use Cases
Practical scenarios where Cursor combined with the Scale AI MCP Server delivers measurable value.
Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP
Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically
Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates
Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data
Example Prompts for Scale AI in Cursor
Ready-to-use prompts you can give your Cursor 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 Cursor
Common issues when connecting Scale AI to Cursor through Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
Scale AI + Cursor FAQ
Common questions about integrating Scale AI MCP Server with Cursor.
What is Agent mode and why does it matter for MCP?
Where does Cursor store MCP configuration?
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?
How do I verify MCP tools are loaded?
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