ShadowBot Connector for AI agents.
10 live capabilities
Manage browser and desktop automation workflows from your AI client.
Waiting for input…
Why people use ShadowBot
ShadowBot RPA Orchestration for Automating Browser Workflows
With this Connector, you just ask your agent to check the status or start the next job. You get a summary of what's running and what failed without ever leaving your primary workspace. It turns your RPA setup into a background service you can control with plain English.
What Vinkius changes
You get a direct command line for your RPA bots inside your AI client.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Automated Web Scraping
An analyst asks the agent to start a web scraping task.
- Real-world use case 02
Fleet Health Check
An ops manager asks 'How many robots are online?
- Real-world use case 03
Error Debugging
A dev asks why a job failed.
Complete set · 10capabilities
The complete ShadowBot capability set.
These are the exact actions your AI can choose when you ask it to work with ShadowBot.
01—04
4 capabilities in this set.
Part of 10 available through ShadowBot.
- 01 Capability
List task logs
Retrieves the history of logs for a specific task to troubleshoot errors. See exactly where a bot failed.
- 02 Capability
Stop task
Immediately halts a running ShadowBot RPA task. Use this to kill a stuck process or stop a job early.
- 03 Capability
Get robot details
Pulls specific data about a single robot's configuration and status. Useful for checking individual bot health.
- 04 Capability
Get task details
Shows the current progress and results of a specific ShadowBot task. Use this to see if a job finished or hit a snag.
05—07
3 capabilities in this set.
Part of 10 available through ShadowBot.
- 05 Capability
List apps
Shows every RPA application currently registered in your account. Good for a quick inventory of your available automations.
- 06 Capability
List departments
Pulls the full list of organizational departments. Helps in managing large-scale enterprise RPA structures.
- 07 Capability
List department members
Shows who belongs to a specific department in your RPA structure. Use this to audit team access.
08—10
3 capabilities in this set.
Part of 10 available through ShadowBot.
- 08 Capability
List online robots
Identifies which robots are currently active and ready to work. Helps you find available capacity instantly.
- 09 Capability
List robots
Lists every robot associated with your account for easy identification. Provides a complete view of your fleet.
- 10 Capability
Start task
Triggers a remote execution of a ShadowBot RPA application. Use this to kick off new jobs with one command.
Set up in minutes
One URL. Then ask ShadowBot to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use ShadowBot 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_ufnlZ9qwI42evVPv5I9DUys2Zu6x1WXTg98eorvf/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 ShadowBot, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable ShadowBot for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_ufnlZ9qwI42evVPv5I9DUys2Zu6x1WXTg98eorvf/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 ShadowBot URL.
- Step 03
Save and start
Save the connection and enable ShadowBot in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"shadowbot": {
"url": "https://edge.vinkius.com/vk_preview_ufnlZ9qwI42evVPv5I9DUys2Zu6x1WXTg98eorvf/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 ShadowBot
Open Agent mode in chat and ask: "Using ShadowBot, help me...". 10 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"shadowbot": {
"url": "https://edge.vinkius.com/vk_preview_ufnlZ9qwI42evVPv5I9DUys2Zu6x1WXTg98eorvf/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 ShadowBot
Ask Copilot: "Using ShadowBot, help me...". 10 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"shadowbot": {
"url": "https://edge.vinkius.com/vk_preview_ufnlZ9qwI42evVPv5I9DUys2Zu6x1WXTg98eorvf/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 ShadowBot
Open Cascade and ask: "Using ShadowBot, help me...". 10 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"shadowbot": {
"url": "https://edge.vinkius.com/vk_preview_ufnlZ9qwI42evVPv5I9DUys2Zu6x1WXTg98eorvf/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 ShadowBot
Ask Cline: "Using ShadowBot, help me...". 10 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add shadowbot --transport http "https://edge.vinkius.com/vk_preview_ufnlZ9qwI42evVPv5I9DUys2Zu6x1WXTg98eorvf/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 ShadowBot
Ask Claude: "Using ShadowBot, show me...". 10 tools are ready
Where the request belongs
Work ShadowBot can move forward.
The RPA developer tired of manual testing, the operations manager who needs a fleet overview without clicking through five tabs, and the business analyst who wants to pull success metrics without asking for a CSV.
RPA Developer
Uses the Connector to trigger and monitor complex browser bots during the development and testing phase.
Operations Manager
Monitors the health and throughput of the entire digital workforce to ensure tasks stay on schedule.
Business Analyst
Requests execution reports and success metrics via natural language to track ROI on automation.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsCloud BOT
Run automated browser tasks in the cloud with scriptless bots that extract data, fill forms, and navigate websites on autopilot.
Automate.io
Manage Automate.io workflows seamlessly. audit your bots, connections, and execution runs directly from your AI agent.
Huginn (IFTTT Alternative)
Automate workflows with Huginn. manage agents, trigger webhooks, and orchestrate complex scenarios directly from your AI agent.
Activepieces
Automate workflows with Activepieces. manage flows, monitor executions, and handle app connections directly from your AI agent.
Robolytix
Monitor robotic process automation performance with analytics that track bot execution times, success rates, and exceptions.
PhantomBuster
Automate web data extraction via PhantomBuster. list Phantoms, launch automations, and track results directly from any AI agent.
Bring your own AI
Change the model, client or framework. Keep ShadowBot 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 ShadowBot.
The practical details behind the request, access and result.
What is the ShadowBot MCP?
It is a way to connect your ShadowBot RPA robots to your AI agent. This allows you to manage, trigger, and monitor your automations directly through a chat interface.
Can I start a robot task with this?
Yes, you can trigger any ShadowBot RPA application using natural language commands. Your agent will handle the request and start the workflow for you.
How do I see if my robots are working?
You can ask your agent to list online robots or check specific task details. It will provide real-time updates on which bots are active and what they are doing.
Can I manage my team's departments?
Yes, the Connector allows you to view organizational departments and list their members. This makes it easy to manage team access and structure programmatically.
How do I see if a task failed?
Your agent can pull the logs for any specific task to show you the exact error. This helps you identify where a bot hit a snag without opening the full console.
Is this for building new bots?
No, this is for managing the bots you've already built in the ShadowBot platform. It provides the controls to run and monitor them, rather than writing the automation scripts.
Do I need to keep the console open?
No, you can manage everything through your AI client once the Connector is connected. You only need to visit the console to get your initial credentials.
Can I automatically trigger an RPA task via the AI agent?
Yes! Use the trigger_task capability with the target Robot ID and any required input parameters. Your agent will start the automation job and return the unique Job ID.
How do I check if a robot is currently online and ready?
Use the list_robots capability. It will retrieve all configured robots in your ShadowBot account along with their current status (e.g., Online, Busy, Offline).
Can I retrieve the logs for a completed automation job?
Yes! The get_task_logs capability allows you to fetch the execution details and any output data for a specific Job ID.
One connection away
Give your agent a direct line to ShadowBot.
Connect ShadowBot once. Keep it beside 5,900+ managed Connectors when the next task needs more.
Explore every Connector No credit card required · Free tier available