Compatible with every major AI agent and IDE
Create monitor on Browse AI
Create a new monitor schedule for a robot
Get bulk run on Browse AI
Get details of a specific bulk run
Get robot on Browse AI
Get details of a specific robot
Get system status on Browse AI
Check Browse AI system and queue status
Get task on Browse AI
Get status and extracted data for a task
List bulk runs on Browse AI
List all bulk runs for a robot
List monitors on Browse AI
List all monitors for a specific robot
List robots on Browse AI
List all approved robots
List tasks on Browse AI
List all tasks for a specific robot
Run robot on Browse AI
Run a robot to extract data (creates a task)
How Vinkius protects your data
Is there a risk of the AI "going crazy" and deleting important company data?
No. With Vinkius, the AI operates on "rails". It can only make the exact moves you authorized in the tool's settings. It cannot invent routes, access other networks in your company, or decide to delete random files. If the action isn't in the approved catalog, the attempt is blocked instantly.
Can I set different limits for each virtual assistant on my team?
Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.
How do I retrieve the data once a robot finishes its task?
Simply ask the agent to get_task and provide the Task ID. If the status is 'successful', it will return the JSON structure containing all the captured data fields.
What if the AI ends up reading customer data or confidential information?
We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.
Automated Workflows using Browse AI
Connect your AI agents and chatbots (Claude, ChatGPT, Cursor) with the Browse AI MCP server to manage operations across the following domains.
Managing data extraction inside Claude
Integrate Browse AI to access native data extraction capabilities. This allows LLMs to perform secure, deterministic execution of data management tasks without hard-coded API scripts.
Claude Code Integration for web monitoring
The Browse AI MCP translates LLM intent into specific web monitoring actions. Agents like Cursor use this to interface securely with your data management infrastructure.
Browse AI. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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