Compatible with every major AI agent and IDE
Delete video on Loom (Async Video Messaging)
This action cannot be undone. Delete a video
Get transcript on Loom (Async Video Messaging)
Get video transcript
Get video on Loom (Async Video Messaging)
Get video details
Get video analytics on Loom (Async Video Messaging)
Get video analytics
List folders on Loom (Async Video Messaging)
List workspace folders
List videos on Loom (Async Video Messaging)
List all Loom videos
List workspace members on Loom (Async Video Messaging)
List workspace members
Update video on Loom (Async Video Messaging)
Update video title
How Vinkius protects your data
How do I download a raw MP4 file of a Loom video through a conversation?
The create_download_url tool forces the backend to allocate an ephemeral S3 pre-signed URL. Your agent will provide this link, which allows you to stream or download the raw bytes of your video directly.
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.
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 Loom (Async Video Messaging)
Use Loom (Async Video Messaging) with any AI agent framework to process, analyze, and mutate data securely via the Model Context Protocol.
The Future of asynchronous video
The Loom (Async Video Messaging) MCP manages API routing for asynchronous video. This enables AI agents like Claude Code to execute structured productivity queries.
Intelligent screencast Management
The Loom (Async Video Messaging) server exposes documented endpoints for screencast. This allows ChatGPT and Cursor to interact with productivity APIs seamlessly.
Loom (Async Video Messaging). 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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