Compatible with every major AI agent and IDE
Create user on Flow XO
Register a new user
Get automation analytics on Flow XO
Get usage summary
Get user details on Flow XO
Get user profile
List bot accounts on Flow XO
). List platform accounts
List broadcasts on Flow XO
List sent broadcasts
List chatbot users on Flow XO
List all end users
List user history on Flow XO
List user messages
List workflows on Flow XO
List automation flows
Send push message on Flow XO
Send a push message
Toggle workflow on Flow XO
Enable/Disable a flow
Trigger webhook on Flow XO
Trigger flow via webhook
Update user on Flow XO
Update user metadata
How Vinkius protects your data
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.
What happens if the underlying API rate limits my agent?
Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.
What is a 'response path' and how do I get it?
A response path is a unique identifier for a user's conversation on a specific platform. You can find it by using the 'list_chatbot_users' or 'get_user_details' tools. It's required for sending push messages via the 'send_push_message' tool.
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.
How Chatbots Interact with Flow XO
We map standard API endpoints to agent-compatible instructions. Connect Flow XO to execute these core functional operations.
Streamlining chatbots
The Flow XO toolkit provides secure access to chatbots functions. It enables conversational agents to manage productivity settings deterministically.
LLM Orchestration for webhook automation
The Flow XO integration exposes LLM-friendly schemas for webhook automation. Tools like Cursor can map natural language directly into executable productivity commands.
Flow XO. 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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