Scale AI MCP Server for LangChainGive LangChain instant access to 11 tools to Cancel Task, Create Batch, Create Image Annotation Task, and more
GDPR Free for SubscribersLangChain is the leading Python framework for composable LLM applications. Connect Scale AI through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
Ask AI about this MCP Server for LangChain
The Scale AI MCP Server for LangChain 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 asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"scale-ai": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Scale AI, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(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.
LangChain's ecosystem of 500+ components combines seamlessly with Scale AI through native MCP adapters. Connect 11 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain
When LangChain 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 LangChain via MCP
Follow these steps to wire Scale AI into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the Scale AI MCP Server
LangChain provides unique advantages when paired with Scale AI through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Scale AI MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Scale AI queries for multi-turn workflows
Scale AI + LangChain Use Cases
Practical scenarios where LangChain combined with the Scale AI MCP Server delivers measurable value.
RAG with live data: combine Scale AI tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Scale AI, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Scale AI tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Scale AI tool call, measure latency, and optimize your agent's performance
Example Prompts for Scale AI in LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Scale AI to LangChain through Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersScale AI + LangChain FAQ
Common questions about integrating Scale AI MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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