Compatible with every major AI agent and IDE
Add masked number on Mitto
Add a masked number
Add masking participant on Mitto
Add a masking participant
Cancel 2fa on Mitto
Cancel a 2FA OTP request
Create masking application on Mitto
Create a number masking application
Create masking context on Mitto
Create a masking context
Delete masked number on Mitto
Delete a masked number
Delete masking application on Mitto
Delete a number masking application
Delete masking context on Mitto
Delete a masking context
Delete masking participant on Mitto
Delete a masking participant
Get 2fa usage on Mitto
Get 2FA usage records
Get sms usage by country on Mitto
Get SMS usage by country
List masked numbers on Mitto
List masked numbers
List masking applications on Mitto
List number masking applications
List masking contexts on Mitto
List masking contexts
List masking participants on Mitto
List masking participants
Lookup number on Mitto
Lookup mobile number information
Search 2fa on Mitto
Search 2FA SDRs
Search masking interactions on Mitto
Search masking interactions
Send 2fa on Mitto
Send a 2FA OTP message
Send bulk sms on Mitto
Send bulk SMS messages
Send sms on Mitto
Send a single SMS message
Set 2fa limits on Mitto
Set 2FA limits
Set 2fa workflows on Mitto
g., SMS to Voice) for 2FA. Set 2FA workflows
Track sms conversion on Mitto
Track SMS conversion
Update masking application on Mitto
Update a number masking application
Update masking context on Mitto
Update a masking context
Verify 2fa on Mitto
Verify a 2FA OTP code
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.
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.
Can I send an SMS to multiple phone numbers at the same time?
Yes! Use the send_bulk_sms tool. You can provide an array of recipient numbers in E.164 format and a single message body to reach multiple users at once.
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.
Mitto Capabilities for AI Assistants
This integration supports direct MCP execution, enabling your chatbots to query and modify data within these specific environments.
Streamlining sms api
Build automated workflows involving sms api by connecting Mitto. It provides Claude and ChatGPT with direct API hooks into your communication messaging ecosystem.
AI-Driven two factor authentication Workflows
The Mitto MCP translates LLM intent into specific two factor authentication actions. Agents like Cursor use this to interface securely with your communication messaging infrastructure.
Mitto. 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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