Compatible with every major AI agent and IDE
Cancel booking on Cal.com
com destruction schemas firing integrated Email notifications alerting both the Organizer and external Guests appending the contextual reason. Cancel an existing Cal.com booking via secure UID matching freeing timeslots
Create booking on Cal.com
Auto-generates conferencing URLs where default. Programmatically create a new booking on Cal.com seamlessly capturing host slots
Get available slots on Cal.com
Retrieve the exact array bounds verifying free temporal spans per mapped event types
Get booking on Cal.com
Retrieve full details of a specific Cal.com booking by its UID
Get event type on Cal.com
Extract detailed configuration parsing a specific Cal.com native event boundary
Get me on Cal.com
Get the authenticated Cal.com user profile including name, email, timezone, default schedule, avatar, and organization info
List bookings on Cal.com
Standardizes attendee listings, temporal slots, statuses ("accepted" [confirmed], "pending", "cancelled", "rejected"), and spatial links. List all Cal.com bookings with optional status filter
List event types on Cal.com
Enumerate explicitly attached structured scheduling types mapping active formats
List schedules on Cal.com
Locate physical scheduling origin rules managed natively bounding work times
Reschedule booking on Cal.com
Modifies host structures triggering email templates updating guest links securely. Reschedule an existing Cal.com booking mapping to an explicit new temporal block
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.
Will the AI inform me who booked specific categories dynamically cleanly properly safely natively reliably securely properly?
Yes naturally properly flawlessly comprehensively effectively directly efficiently easily seamlessly properly exactly reliably successfully strongly surely securely fully. Any simple invocation of the list bookings protocol surfaces arrays listing not just times but total attendees correctly linked with respective details precisely effectively smoothly natively exactly flawlessly.
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.
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 Cal.com
Connect your AI agents and chatbots (Claude, ChatGPT, Cursor) with the Cal.com MCP server to manage operations across the following domains.
LLM Orchestration for scheduling
The Cal.com connection gives ChatGPT direct access to scheduling tools. The integration handles the logic required for continuous loved by devs operations.
Autonomous availability Strategies
The Cal.com connection gives ChatGPT direct access to availability tools. The integration handles the logic required for continuous loved by devs operations.
Cal.com. 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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