Cloud BOT Connector for AI agents.
7 live capabilities
Run browser automation and web scraping tasks through natural language.
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Why people use Cloud BOT
Cloud BOT RPA for automated web scraping and data entry
This Connector lets you skip that. You just tell your agent to run a specific bot, and it handles the navigation and data entry in the cloud. You get the final data without ever having to open a browser tab yourself.
What Vinkius changes
You get a way to trigger and manage complex browser automations using only natural language.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Competitor Price Tracking
A growth marketer asks the agent to run a price scraper every morning and summarizes the results.
- Real-world use case 02
Automated Lead Gen
An ops lead uses the agent to trigger a bot that fills out a lead form on a partner site.
- Real-world use case 03
Data Migration
A dev uses the agent to list files in cloud storage to verify a batch of scraped records was saved.
Complete set · 7capabilities
The complete Cloud BOT capability set.
These are the exact actions your AI can choose when you ask it to work with Cloud BOT.
01—04
4 capabilities in this set.
Part of 7 available through Cloud BOT.
- 01 Capability
Cancel job
Stops a running automation job immediately if it's no longer needed.
- 02 Capability
Execute bot
Triggers a specific bot execution using custom JSON parameters for tasks like scraping or form filling.
- 03 Capability
Get bot details
Pulls the specific configuration and metadata for a single bot in your account.
- 04 Capability
Get job status
Checks the current progress and results of a specific automation job.
05—07
3 capabilities in this set.
Part of 7 available through Cloud BOT.
- 05 Capability
List bots
Retrieves a full list of all available RPA bots within your Cloud BOT account.
- 06 Capability
List cloudbot files
Shows all files currently stored in your Cloud BOT storage area.
- 07 Capability
List jobs
Displays a history of recent execution jobs and their results.
Set up in minutes
One URL. Then ask Cloud BOT to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Cloud BOT from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_oRL6ttBTfykVRqI7TcgoMA58YnKP0MfVILxJfBaK/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Cloud BOT, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Cloud BOT for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_oRL6ttBTfykVRqI7TcgoMA58YnKP0MfVILxJfBaK/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Cloud BOT URL.
- Step 03
Save and start
Save the connection and enable Cloud BOT in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"cloud-bot": {
"url": "https://edge.vinkius.com/vk_preview_oRL6ttBTfykVRqI7TcgoMA58YnKP0MfVILxJfBaK/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Cloud BOT
Open Agent mode in chat and ask: "Using Cloud BOT, help me...". 7 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"cloud-bot": {
"url": "https://edge.vinkius.com/vk_preview_oRL6ttBTfykVRqI7TcgoMA58YnKP0MfVILxJfBaK/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Cloud BOT
Ask Copilot: "Using Cloud BOT, help me...". 7 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"cloud-bot": {
"url": "https://edge.vinkius.com/vk_preview_oRL6ttBTfykVRqI7TcgoMA58YnKP0MfVILxJfBaK/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Cloud BOT
Open Cascade and ask: "Using Cloud BOT, help me...". 7 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"cloud-bot": {
"url": "https://edge.vinkius.com/vk_preview_oRL6ttBTfykVRqI7TcgoMA58YnKP0MfVILxJfBaK/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Cloud BOT
Ask Cline: "Using Cloud BOT, help me...". 7 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add cloud-bot --transport http "https://edge.vinkius.com/vk_preview_oRL6ttBTfykVRqI7TcgoMA58YnKP0MfVILxJfBaK/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Cloud BOT
Ask Claude: "Using Cloud BOT, show me...". 7 tools are ready
Where the request belongs
Work Cloud BOT can move forward.
This is for the operations lead tired of manual data entry, the growth marketer stuck scraping leads, or the dev who needs to trigger web flows without building a custom backend.
Operations Manager
Triggers data extraction bots to keep internal databases updated without manual oversight.
Growth Marketer
Automates lead generation and competitor price monitoring via natural language commands.
RPA Developer
Manages large fleets of browser bots and monitors execution logs from a single chat interface.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsShadowBot
Orchestrate ShadowBot RPA. manage automation robots, handle execution tasks, and monitor bot performance directly from any AI agent.
Browserbear
Automate browser tasks via Browserbear. take screenshots, scrape data, and run multi-step automations directly from any AI agent.
Browserless (Playwright Cloud)
Equip your AI with a remote headless browser to scrape, interact, and run Playwright safely via cloud.
Apify
Command Apify scrapers from your AI agent. run actors, extract web data, poll datasets, and automate browser tasks seamlessly.
PhantomBuster
Automate web data extraction via PhantomBuster. list Phantoms, launch automations, and track results directly from any AI agent.
Olostep
Scrape web pages at scale with a headless browser API that renders JavaScript and returns clean structured data instantly.
Bring your own AI
Change the model, client or framework. Keep Cloud BOT connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Cloud BOT.
The practical details behind the request, access and result.
What is the Cloud BOT MCP?
It connects your AI agent to your Cloud BOT account so you can run browser tasks like scraping or form filling using just plain English.
Can I use it to scrape websites?
Yes, if you have a bot set up in Cloud BOT for a specific site, you can tell your agent to run it and get the data back.
Does it work with Claude or Cursor?
It works with any MCP-compatible client, including Claude, Cursor, and Windsurf, as long as you provide your API keys.
How do I see my bot results?
You can ask your agent to check the status of a specific job or list the files in your Cloud BOT storage to see what was saved.
Can I stop a bot if it's stuck?
Yes, your agent can use the cancel capability to stop any running job immediately if something goes wrong.
Do I need to write code to use this?
No, you just need to provide your Access Token, Secret Key, and Public ID from your dashboard. After that, you just talk to your agent.
How do I find my Cloud BOT API credentials?
Log in to your account, navigate to the API Settings section, and you will find your Access Token, Secret Key, and Public ID.
Can I pass custom parameters to a bot?
Yes! The execute_bot capability accepts a params_json string where you can provide a JSON object matching your bot's input configuration.
How do I check the results of an automation?
Use the get_job_status capability with a job ID to retrieve the execution status and any outputs or files generated by the bot.
One connection away
Give your agent a direct line to Cloud BOT.
Connect Cloud BOT once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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