Scale AI MCP Server for Mastra AIGive Mastra AI instant access to 11 tools to Cancel Task, Create Batch, Create Image Annotation Task, and more
GDPR Free for SubscribersMastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Scale AI through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
Ask AI about this MCP Server for Mastra AI
The Scale AI MCP Server for Mastra AI 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
Geminiimport { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"scale-ai": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Scale AI Agent",
instructions:
"You help users interact with Scale AI " +
"using 11 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Scale AI?"
);
console.log(result.text);
}
main();
* 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.
Mastra's agent abstraction provides a clean separation between LLM logic and Scale AI tool infrastructure. Connect 11 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI
When Mastra AI 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 Mastra AI via MCP
Follow these steps to wire Scale AI into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
npm install @mastra/core @mastra/mcp @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Mastra AI with the Scale AI MCP Server
Mastra AI provides unique advantages when paired with Scale AI through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Scale AI without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Scale AI tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Scale AI + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Scale AI MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Scale AI, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Scale AI as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Scale AI on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Scale AI tools alongside other MCP servers
Example Prompts for Scale AI in Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Scale AI to Mastra AI through Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpScale AI + Mastra AI FAQ
Common questions about integrating Scale AI MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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