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Connect LLMs to Node-RED workflows through a standardized MCP interface.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "@supcon-international/node-red-mcp-server" yet — see the docs or source repo.
Connect to the Node-RED MCP server, list all current flows and nodes, and summarize the purpose of each flow in English.
A list of flows and nodes with a short explanation of what each flow does.
Create a draft flow in Node-RED that fetches API data hourly, sends alerts on errors, and provide a description of the flow structure.
A draft flow that can be imported or refined further, with key node logic explained.
Review this Node-RED flow configuration and connections, identify likely causes of execution failure, and suggest fixes.
An analysis of failure causes, affected nodes, and actionable recommendations to fix the flow.
Connect to the mcp API via MCP to extend AI tool capabilities.
An MCP tool for adding two numbers and demonstrating basic tool calls.
Operate Redmine projects, issues, and workflows directly from MCP clients.
Connect to Jupyter via MCP to run code and explore data interactively.
Connect to the Webflow Data API to query, manage, and automate site content.
Convert any OpenAPI v3 spec into a working MCP server for AI integration.