Cloud BOT MCP. Automate web scraping and browser interactions.
Gemini Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
Cloud BOT runs automated browser tasks in the cloud, letting your agent scrape data, fill forms, and navigate websites without you having to click anything.
It handles complex web workflows like lead generation or price monitoring by treating the entire process as a natural conversation with your AI client.
What your AI agents can do
Cancel job
Stops a running automated job immediately if it needs to be terminated.
Execute bot
Starts an automation bot run, allowing you to pass custom settings via JSON data.
Get bot details
Retrieves specific information about a particular configured bot.
Get a full list of all your configured RPA bots and check their specific setup details.
Start an automated job execution, passing custom JSON parameters to define exactly what data the bot needs to collect.
Check if a running job finished successfully or failed, retrieving detailed logs for debugging.
Immediately stop an automated process that is consuming resources or going off track.
Access and list all files, whether you created them or the bots generated them in your cloud storage.
Ask AI about this MCP
Supported MCP Clients
OAuth 2.0 Compatible Gemini Waiting for input…
Cloud BOT: 7 Tools for Automation Control
Use these seven tools to list bots, manage jobs, check status, execute complex runs, and handle file storage in a single conversational workflow.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Cloud BOT on Vinkius019dd0d1cancel job
Stops a running automated job immediately if it needs to be terminated.
019dd0d1execute bot
Starts an automation bot run, allowing you to pass custom settings via JSON data.
019dd0d1get bot details
Retrieves specific information about a particular configured bot.
019dd0d1get job status
Checks the current status of an automation job, confirming if it's running or finished.
019dd0d1list bots
Provides a list of all available RPA bots configured in your account.
019dd0d1list cloudbot files
Lists all files stored and managed by the Cloud BOT system.
019dd0d1list jobs
Retrieves a history of recent bot execution jobs for review.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Cloud BOT, then connect any of our 4,800+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,800+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
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.
VINKIUS INFRASTRUCTURE
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on every call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 7 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Dealing with web data used to mean clicking through a dozen tabs.
Today, getting data from complex sites—like checking inventory or scraping pricing—requires opening the bot portal. You manually set parameters, hit 'run,' and then you're stuck staring at a dashboard, refreshing it every minute to see if the job is done, if it failed, or what the output file is called.
With this MCP, that whole manual process vanishes. Your AI client handles the setup, execution, monitoring, and retrieval of files automatically. You just tell your agent the goal; it manages the underlying web interaction using its built-in bots.
The Cloud BOT MCP gives you full control over job execution.
You no longer have to worry about whether a bot is configured correctly. You can use `list_bots` to review every available automation, and then use `get_bot_details` to confirm the exact parameters required before you even start a job.
It's reliable orchestration. Your agent manages the entire sequence of events—from starting with `execute_bot` to confirming success via `get_job_status`. It works.
What you can do with this MCP connector
Forget logging into separate bot dashboards just to check if a job finished. This MCP lets your agent manage full Robotic Process Automation (RPA) workflows using only natural language commands. You can orchestrate multiple bots, trigger complex web scraping jobs with specific JSON parameters, and watch the results in real time.
Your AI client acts as a dedicated automation engineer. It doesn't just run single tasks; it manages the whole lifecycle—from listing every available bot to tracking job status and retrieving generated files. Because your credentials pass through Vinkius's zero-trust proxy, you never worry about keys sitting on disk or being exposed during transit.
This means you can trust your agent with high-value web interactions across multiple platforms.
This MCP is for anyone who needs to move beyond simple API calls and interact with the messy reality of a modern website—the kind of place where fields are hidden, JavaScript runs everything, or navigating requires clicking through five different pages.
019dd0d1-6e1a-73e0-aeef-b63421a4bafd 
How Cloud BOT MCP Works
- 1 First, retrieve your Access Token, Secret Key, and Public ID from the Cloud BOT dashboard to connect this MCP.
- 2 Next, instruct your AI agent using natural conversation (e.g., 'Start scraping prices on that URL').
- 3 The job runs in the cloud; you track its progress and results by asking the agent for the current status or listing the final files.
The bottom line is, instead of manually logging into a bot portal, your AI client talks to the system directly and handles the entire web automation process conversationally.
Who Is Cloud BOT MCP For?
It's for Ops Engineers who are sick of spending their mornings clicking through dashboards. It’s also for Growth Marketers whose job relies on collecting data from non-API websites, and Developers building complex web integrations.
Manages the entire lifecycle of automated workflows, using tools to list bots, check execution histories, and cancel runaway jobs.
Runs targeted campaigns that require data extraction (like lead scraping or competitor price monitoring) without leaving their primary workspace.
Integrates high-speed, cloud-based browser automation into custom workflows via simple queries from the AI agent.
What Changes When You Connect
- Don't manually check dashboards. You can use
list_jobsto see a clean history of recent execution runs, knowing exactly what ran when. - Need to stop a job? Use
cancel_jobwhenever an automation process gets stuck or needs immediate termination, saving compute time. - The power is in the parameters: Instead of guessing inputs, use
execute_botand pass custom JSON to guarantee your scraping jobs run with specific settings. - It's not just about running—it's about tracking. Check real-time progress or get logs using
get_job_status, so you know exactly what happened inside the bot. - File management is covered. Use
list_cloudbot_filesto locate and verify any data output, whether it was created by a specific bot or manually uploaded.
Real-World Use Cases
Monitoring Competitor Pricing
A marketing analyst needs daily price sheets from five different competitor websites. They instruct the agent to use list_bots to select the 'Price Scraper' bot, then call execute_bot with a list of URLs and target fields. The agent monitors the run using get_job_status until all data is collected.
Auditing Bot Capabilities
The ops team needs to know what bots exist before writing code for them. They ask the agent to use list_bots and then select a bot by ID, calling get_bot_details to verify its allowed functions and parameters.
Cleaning Up Failed Runs
After testing a new workflow that failed unexpectedly, the developer asks the agent to use list_jobs to find the job ID. They then check the logs with get_job_status, figure out the root cause, and finally call cancel_job on any lingering instances.
Gathering Multi-Source Data
The research team needs to scrape data from three different sites. The agent first uses list_bots to confirm the 'Data Collector' bot is ready, then chains multiple calls using execute_bot for each site, and finally uses list_cloudbot_files to download all resulting CSVs.
The Tradeoffs
Treating it like a simple API endpoint
Just calling execute_bot without specifying the required JSON parameters for input, assuming the bot knows what to do.
→
Always confirm the necessary inputs. First, use get_bot_details to review the mandatory schema, then call execute_bot ensuring all JSON fields are correctly populated.
Manually checking dashboards
Having to log into the Cloud BOT portal every few minutes just to see if a job is still running or what the result was.
→
Keep your agent connected. Simply ask it, 'What's the status of the last pricing scrape?' The agent runs get_job_status and reports back instantly.
Forgetting to clean up
Running multiple test jobs that successfully complete but leave dozens of old records in the job history, making it impossible to find what you need.
→
After testing is done, run list_jobs and then use cancel_job on any temporary or obsolete bot instances before moving on.
When It Fits, When It Doesn't
Use this MCP if your task requires interaction with a web browser—any time you need to handle JavaScript, click through multiple pages, or fill out forms that aren't backed by a clean API. Don't use it if the target service has a simple, single REST endpoint that just needs one GET request; in those cases, an HTTP client MCP is faster and cleaner. If your job requires complex state management (like checking status repeatedly), this MCP handles the full lifecycle from initiating with execute_bot to monitoring with get_job_status. However, if you only need to list what's available without running anything, then simply calling list_bots is enough.
Common Questions About Cloud BOT MCP
How do I list all available bots using list_bots? +
Just ask your agent to run the list_bots function. It will provide a full inventory of every configured bot and their unique IDs, letting you see what automation tasks are ready to go.
If I need to scrape data, do I use execute_bot or list_bots? +
You use execute_bot to start the scraping job. You only run list_bots when you want to see which bots are available to run in the first place.
What is the best way to check if my bot ran successfully? +
Use get_job_status. This function gives you the current state of a job, telling you if it's 'Success,' 'Failure,' or still running.
Can I cancel a bot run that is stuck? How do I use cancel_job? +
Yes. If a process gets stuck, ask the agent to call cancel_job and provide the job ID. This terminates the running task immediately.
Where are the final data files after using this MCP? +
You can see all generated or stored files by calling list_cloudbot_files. The agent will then help you locate and potentially download the results.
How do I use `get_bot_details` to check what parameters a bot requires? +
The tool retrieves the full configuration and metadata for any specific bot. This lets you see exactly which input variables or JSON structure that bot expects before you try running it, saving you setup time.
What is the best way to audit past runs using `list_jobs`? +
You can use list_jobs to get a chronological record of all recent automation attempts. This lets you quickly compare successful jobs against failed ones, helping you spot patterns or diagnose when things started going wrong.
If I run into an error using `execute_bot`, how do I debug the input parameters? +
The system reports detailed logs for job executions. If your JSON input fails, these logs show where the script hit a roadblock and what specific data was passed to that point, making debugging straightforward.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.