# node-red-mcp-server

> Use this tool when you need to integrate language models with Node-RED, enabling standardized interactions through the Model Context Protocol (MCP) API. It solves problems of compatibility and communication between AI models and Node-RED, allowing for seamless data exchange and workflow automation. The node-red-mcp-server takes in language model inputs and outputs Node-RED compatible data, ideal for use cases requiring AI-driven automation and decision-making.

Canonical page: https://skillsregistry.net/skills/karavaev-evgeniy-node-red-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/karavaev-evgeniy-node-red-mcp-server

## Description

Model Context Protocol (MCP) server for Node-RED — allows language models (like Claude, GPT) to interact with Node-RED through a standardized API.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/w20ug5vnfl)
- **Repository:** <https://github.com/karavaev-evgeniy/node-red-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "karavaev-evgeniy-node-red-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/karavaev-evgeniy-node-red-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/karavaev-evgeniy-node-red-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt