Scale AI MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK 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

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Scale AI through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

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The Scale AI MCP Server for OpenAI Agents SDK 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

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Scale AI Assistant",
            instructions=(
                "You help users interact with Scale AI. "
                "You have access to 11 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Scale AI"
        )
        print(result.final_output)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

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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.

The OpenAI Agents SDK auto-discovers all 11 tools from Scale AI through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Scale AI, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK

When OpenAI Agents SDK 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 OpenAI Agents SDK via MCP

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

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 11 tools from Scale AI

Why Use OpenAI Agents SDK with the Scale AI MCP Server

OpenAI Agents SDK provides unique advantages when paired with Scale AI through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Scale AI + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Scale AI MCP Server delivers measurable value.

Automated workflows: build agents that query Scale AI, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Scale AI, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Scale AI tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Scale AI to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Scale AI in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK

Common issues when connecting Scale AI to OpenAI Agents SDK through Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Scale AI + OpenAI Agents SDK FAQ

Common questions about integrating Scale AI MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

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