How to Use the Cloud BOT MCP in LangChain

Run browser automation directly inside your LangChain pipelines by linking Cloud BOT tasks to your agent's reasoning chain.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect Cloud BOT MCP to LangChain

Create your Vinkius account to connect Cloud BOT to LangChain and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Cloud BOT with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Trigger browser tasks in LangChain

Chain your agent's logic directly to `execute_bot` to start cloud tasks without leaving your script. The output flows into your next step immediately. Your agent decides when to run a task based on previous chain results. It keeps the flow moving by chaining `list_bots` and `get_job_status` automatically.

Control job execution from agents

Stop runaway processes using `cancel_job` if your agent detects a logic error or a timeout in the chain. It keeps your infrastructure clean. This MCP server gives your LangChain agent full visibility into running tasks. Your code handles errors by checking `list_jobs` output in real-time.

Manage files within your chains

Inspect your remote storage using `list_cloudbot_files` to provide context for your next agent action. It turns raw storage into actionable data. Pass these file paths into other tools inside your LangGraph setup. Your agent now has a direct link to the data sitting in your cloud storage.

Setup guide

Set up Cloud BOT MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Cloud BOT tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "cloud-bot-mcp": {
        "transport": "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,
    )
    result = await agent.ainvoke({
        "messages": "List recent Cloud BOT transactions"
    })
    print(result["messages"][-1].content)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Cloud BOT. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Cloud BOT now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Cloud BOT MCP in LangChain

You install the adapters and point the URL to your Vinkius endpoint. The agent imports the tools directly into the execution graph.

Yes, it treats every tool call as a discrete chain link. The agent evaluates the results of one call before triggering the next.

Files remain in your private storage account. The agent only reads what you explicitly allow through the file listing tool.

It is stateless by default. You use a session client if you need to keep context across multiple turn-based interactions.

We use encrypted tokens for every request. Only your specific browser automation logs and task status metadata are ever handled by the server.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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