Node-RED Connector for AI agents.
11 live capabilities
Manage IoT flows and node dependencies through natural language commands.
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Why people use Node-RED
Node-RED Flow Management for IoT Developers
This Connector lets you skip the manual navigation. You just tell your agent what you want to see or change, and it pulls the data or pushes the update for you. You get a clear summary of your flows and system health without the visual clutter.
What Vinkius changes
You can manage your entire Node-RED setup through a simple conversation.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Checking for memory spikes
An engineer asks their agent to check if the system is overloaded.
- Real-world use case 02
Adding a new automation tab
A user needs a new flow for a garage door.
- Real-world use case 03
Installing missing modules
A developer needs to send emails but doesn't have the node.
Complete set · 11capabilities
The complete Node-RED capability set.
These are the exact actions your AI can choose when you ask it to work with Node-RED.
01—04
4 capabilities in this set.
Part of 11 available through Node-RED.
- 01 Capability
Get diagnostics
Get your system's Node.js version, OS details, and current memory usage. This helps you spot performance issues quickly.
- 02 Capability
Get flow
Pull the configuration for a specific flow or tab to inspect its logic. It's the fastest way to see how a specific automation is wired up.
- 03 Capability
Get flows
List all active flow configurations currently running in your instance. Use this to get a bird's-eye view of your entire setup.
- 04 Capability
Get nodes
See a list of all installed node modules available in your palette. This lets you know what capabilities you already have ready to go.
05—08
4 capabilities in this set.
Part of 11 available through Node-RED.
- 05 Capability
Install node
Install new npm packages to expand your Node-RED capabilities. You can add new functionality to your instance without leaving your chat.
- 06 Capability
Remove node
Uninstall and remove node modules you no longer need. This keeps your environment clean and prevents clutter in your palette.
- 07 Capability
Set flows
Apply a new flow configuration to your active environment. It's perfect for pushing updates across your setup instantly.
- 08 Capability
Get settings
View your Node-RED runtime settings and environment constraints. This gives you the context you need to understand your system's limits.
09—11
3 capabilities in this set.
Part of 11 available through Node-RED.
- 09 Capability
Update flow
Modify an existing flow configuration with specific changes. Use this to tweak individual parts of your logic without rewriting everything.
- 10 Capability
Add flow
Create and add a new flow configuration to your instance. This makes it easy to spin up new automations on the fly.
- 11 Capability
Delete flow
Remove a specific flow configuration from your active workspace. Use this to clean up old logic or delete unused tabs.
Set up in minutes
One URL. Then ask Node-RED to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Node-RED from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_eUM0NzEFChIwjVZZEypCDQUUJJ4ngVzPtB8M70nY/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Node-RED, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Node-RED for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_eUM0NzEFChIwjVZZEypCDQUUJJ4ngVzPtB8M70nY/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Node-RED URL.
- Step 03
Save and start
Save the connection and enable Node-RED in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"node-red": {
"url": "https://edge.vinkius.com/vk_preview_eUM0NzEFChIwjVZZEypCDQUUJJ4ngVzPtB8M70nY/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Node-RED
Open Agent mode in chat and ask: "Using Node-RED, help me...". 11 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"node-red": {
"url": "https://edge.vinkius.com/vk_preview_eUM0NzEFChIwjVZZEypCDQUUJJ4ngVzPtB8M70nY/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Node-RED
Ask Copilot: "Using Node-RED, help me...". 11 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"node-red": {
"url": "https://edge.vinkius.com/vk_preview_eUM0NzEFChIwjVZZEypCDQUUJJ4ngVzPtB8M70nY/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Node-RED
Open Cascade and ask: "Using Node-RED, help me...". 11 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"node-red": {
"url": "https://edge.vinkius.com/vk_preview_eUM0NzEFChIwjVZZEypCDQUUJJ4ngVzPtB8M70nY/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Node-RED
Ask Cline: "Using Node-RED, help me...". 11 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add node-red --transport http "https://edge.vinkius.com/vk_preview_eUM0NzEFChIwjVZZEypCDQUUJJ4ngVzPtB8M70nY/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Node-RED
Ask Claude: "Using Node-RED, show me...". 11 tools are ready
Where the request belongs
Work Node-RED can move forward.
This is for the engineer who spends more time wrestling with flow configurations and dependency management than actually building logic. It's for the person who needs to manage multiple instances across different environments without the context-switching headache.
IoT Developer
Modifies edge computing flows and checks hardware health from a single chat window.
Automation Engineer
Deploys new logic and manages npm dependencies via natural language commands.
DevOps Engineer
Monitors system diagnostics and runtime settings across a fleet of Node-RED instances.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Langflow (Visual Multi-agent Orchestrator)
Orchestrate multi-agent AI workflows visually. execute flows, manage projects, and trigger webhooks directly from any AI agent.
Bring your own AI
Change the model, client or framework. Keep Node-RED connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Node-RED.
The practical details behind the request, access and result.
Can I use Node-RED MCP to manage my IoT flows?
Yes, it lets you interact with flows via your AI client. You can add, update, or delete flows using natural language instead of clicking through the dashboard.
How do I install new nodes using Node-RED MCP?
Just ask your agent to install a specific npm package. It will handle the installation for you and make it available in your palette.
Can Node-RED MCP check my server's memory?
Yes, it pulls system diagnostics including memory usage. This helps you monitor your instance's performance in real time.
Is this good for managing multiple Node-RED instances?
Yes, you can query settings and flows across different environments. It makes managing a fleet of instances much faster.
Do I need to open the Node-RED editor to see my flows?
No, your AI agent can fetch and display them for you. This saves you from having to navigate the visual editor for every check.
Can I add new flows to my Node-RED instance?
Yes, your agent can create and add new flow configurations directly. Just describe what you want the new flow to do.
Can I install new nodes from npm using this server?
Yes. Use the install_node capability and provide the npm module name. The server will trigger the installation in your Node-RED instance.
How can I check if my Node-RED server is running out of memory?
You can run the get_diagnostics capability. It returns real-time system metrics including memory usage, Node.js version, and OS information.
Is it possible to delete a specific flow tab?
Yes, by using the delete_flow capability with the specific Flow ID. Be careful, as this action will permanently remove that flow configuration.
One connection away
Give your agent a direct line to Node-RED.
Connect Node-RED once. Keep it beside 6,100+ managed Connectors when the next task needs more.
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