Compatible with every major AI agent and IDE
Create contact on Channels
Create a new contact
Create webhook on Channels
Create a new webhook
Delete contact on Channels
Delete a contact
Get account info on Channels
Get account details
Get call recording on Channels
Get call recording URL
Get call stats on Channels
Get call statistics
Get contact on Channels
Get contact details
List calls on Channels
List recent calls
List contacts on Channels
List all customer contacts
List users on Channels
List account users
List webhooks on Channels
List configured webhooks
Update contact on Channels
Update an existing contact
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.
Can I listen to call recordings via AI?
Yes! The get_call_recording tool generates a temporary secure download link for any recorded call in your history.
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.
What can AI Agents do with Channels?
We map standard API endpoints to agent-compatible instructions. Connect Channels to execute these core functional operations.
Streamlining cloud phone
The Channels MCP translates LLM intent into specific cloud phone actions. Agents like Cursor use this to interface securely with your communication messaging infrastructure.
Automating call tracking with AI
Add call tracking functionality to your custom chatbots. The Channels MCP handles the payload formatting required for ChatGPT and Claude to interface with communication messaging endpoints.
Channels. 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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