Compatible with every major AI agent and IDE
Add flow on Node-RED
Add a new flow to the configuration
Delete flow on Node-RED
Delete an individual flow
Get diagnostics on Node-RED
js, and memory usage. Get Node-RED system diagnostics
Get flow on Node-RED
Get an individual flow (tab) configuration
Get flows on Node-RED
Get active flow configuration
Get nodes on Node-RED
Get list of installed nodes
Get settings on Node-RED
Get Node-RED runtime settings
Install node on Node-RED
Install a new node module
Remove node on Node-RED
Remove a node module
Set flows on Node-RED
Set active flow configuration
Update flow on Node-RED
Update an individual flow
How Vinkius protects your data
Is it possible to delete a specific flow tab?
Yes, by using the delete_flow tool with the specific Flow ID. Be careful, as this action will permanently remove that flow configuration.
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.
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.
Supported Use Cases for Node-RED
Enable conversational interfaces like ChatGPT and Claude to execute programmatic commands against the Node-RED infrastructure.
Autonomous low code via AI
The Node-RED integration exposes LLM-friendly schemas for low code. Tools like Cursor can map natural language directly into executable loved by devs commands.
Autonomous event driven via AI
The Node-RED MCP manages API routing for event driven. This enables AI agents like Claude Code to execute structured loved by devs queries.
Node-RED. 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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