Scale AI MCP Server for LlamaIndexGive LlamaIndex 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

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Scale AI as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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

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python

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Scale AI. "
            "You have 11 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Scale AI?"
    )
    print(response)

asyncio.run(main())

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* 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.

LlamaIndex agents combine Scale AI tool responses with indexed documents for comprehensive, grounded answers. Connect 11 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex

When LlamaIndex 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 LlamaIndex via MCP

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

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 11 tools from Scale AI

Why Use LlamaIndex with the Scale AI MCP Server

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

Data-first architecture: LlamaIndex agents combine Scale AI tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Scale AI tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Scale AI, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Scale AI tools were called, what data was returned, and how it influenced the final answer

Scale AI + LlamaIndex Use Cases

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

Hybrid search: combine Scale AI real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Scale AI to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Scale AI for fresh data

Analytical workflows: chain Scale AI queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Scale AI in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Scale AI + LlamaIndex FAQ

Common questions about integrating Scale AI MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Scale AI tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.