Compatible with every major AI agent and IDE
Create collection on Gumlet
Add new folder
Create video upload on Gumlet
Upload new video
Delete video on Gumlet
Remove video asset
Get account info on Gumlet
Get profile details
Get video analytics on Gumlet
Check video stats
Get video details on Gumlet
Check video status
List image sources on Gumlet
List image optimized sources
List org users on Gumlet
List team members
List video collections on Gumlet
List folders
List videos on Gumlet
List video assets
List webhooks on Gumlet
Get active webhooks
Update video thumbnail on Gumlet
Set thumbnail offset
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.
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.
How do I start a video upload?
Use the create_video_upload tool, which will create the asset in your specified collection and provide a temporary upload_url for your file.
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.
What can AI Agents do with Gumlet?
The Gumlet integration provides comprehensive execution endpoints, allowing AI models to orchestrate tasks reliably.
Autonomous video hosting Strategies
The Gumlet integration exposes LLM-friendly schemas for video hosting. Tools like Cursor can map natural language directly into executable image video commands.
Streamlining image optimization
The Gumlet MCP translates LLM intent into specific image optimization actions. Agents like Cursor use this to interface securely with your image video infrastructure.
Gumlet. 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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