Compatible with every major AI agent and IDE
Add vercel environment variable on Vercel
Add a new environment variable
Create vercel deployment on Vercel
Create a new deployment
Delete vercel deployment on Vercel
Delete a specific deployment
Get vercel deployment info on Vercel
Get details for a specific deployment
Get vercel project details on Vercel
Get details for a specific project
Get vercel user profile on Vercel
Get current user profile
List vercel account domains on Vercel
List all account domains
List vercel deployments on Vercel
List recent deployments
List vercel project env vars on Vercel
List environment variables
List vercel projects on Vercel
List all Vercel projects
List vercel teams on Vercel
List accessible Vercel teams
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.
Can I audit what my AI agents are doing with this integration?
Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.
How do I add a new API Key to a project via AI?
Use the add_environment_variable action. Provide the project name/ID, the key name, and the value. You can also specify the type as 'secret' or 'sensitive'.
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.
Triggering Vercel via Natural Language
The Vercel MCP server handles authentication and payload formatting, allowing your LLM to perform deterministic actions.
Intelligent frontend deployment Management
The Vercel toolkit enables AI agents to execute frontend deployment commands. It handles protocol translation for loved by devs integrations natively.
Connecting serverless functions with Cursor
Deploy the Vercel toolkit to manage serverless functions. The integration offers robust endpoints for ChatGPT to control loved by devs settings.
Vercel. 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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