Compatible with every major AI agent and IDE
Create agent on Retell AI
Creates a new AI voice agent
Create llm on Retell AI
Configures a Retell-hosted LLM
Create phone call on Retell AI
Provide a JSON payload with "from_number" and "to_number". Initiates an outbound phone call
Get call details on Retell AI
Retrieves details for a specific call
List agents on Retell AI
Lists all configured AI voice agents
List calls on Retell AI
Lists all historical and active calls
List phone numbers on Retell AI
Lists all phone numbers associated with the account
List voices on Retell AI
Lists all available text-to-speech voices
Register web call on Retell AI
Registers a new web-based call
Update agent on Retell AI
Updates an existing AI voice agent
How Vinkius protects your data
Can the AI initiate voice calls in a web browser instead of over the phone?
Yes. Use the register_web_call tool to create a browser-based voice session. This returns a connection URL and access token that your frontend application can use to start a real-time WebRTC conversation with a Retell voice agent, without requiring any phone line.
How does the AI access my passwords and credentials?
It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.
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.
Does the AI train on my tools or API data?
No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.
Automated Workflows using Retell AI
Use Retell AI with any AI agent framework to process, analyze, and mutate data securely via the Model Context Protocol.
AI Semantic Routing for voice ai
Use Retell AI to manage voice ai via conversational interfaces. The integration centralizes access control for ai frontier operations performed by ChatGPT.
The Future of conversational agents
The Retell AI toolkit provides secure access to conversational agents functions. It enables conversational agents to manage ai frontier settings deterministically.
Retell 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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