"Node-RED" matching MCP servers:

Connects AI assistants to the Node-RED Admin API, enabling flow inspection, node management, graph analysis, debug capture, and rollback operations through natural language.

Model Context Protocol (MCP) server for Node-RED that allows language models to interact with Node-RED through a standardized API.

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

Exposes Node-RED flows as MCP tools for AI assistants, with OAuth protection and optional admin tools for flow management.

Turns Node-RED flows into OAuth-protected MCP tools that AI assistants can call, with optional read-only access to the Node-RED admin API.

A Model Context Protocol server for Node-RED integration, enabling AI agents to manage flows, install modules, and monitor Node-RED instances via natural language.

Enables retrieval and analysis of graph data from the Pythagraph RED API. Provides formatted tables, statistics, node/edge distributions, and comprehensive summaries for graph visualization and insights.

Enables retrieval and analysis of graph data from the Pythagraph RED API. Provides detailed graph statistics, node/edge distributions, and formatted table outputs for data visualization and analysis.

Provides access to Atomic Red Team tests, enabling search, validation, and execution of atomic tests via natural language.

MCP server providing tools to search Red Hat KCS solutions, retrieve solution details, search cases, and get case details via Red Hat APIs.

mcp-node-zig is an MCP server for remote machines. Drop it on a build box, a homelab server, a Windows host or a VPS, and any MCP client can run commands, drive long-running processes and read and write files there over one authenticated HTTP endpoint.

Enables natural language conversations with Spain's electrical grid data through Claude, providing real-time access to electricity demand, generation, prices, and emissions data from Red Eléctrica de España (REE).

Enables querying Red Hat security data including CSAF advisories, CVEs, and OVAL streams through natural language.

Provides AI agents with offline access to OPC UA companion specification types, dependencies, and engineering units for industrial modeling.

Lets AI assistants interact with Node-RED to read flows, search nodes, edit function code, deploy changes safely, and manage modules.

Scaffolds new MCP servers for the OpenSIN-Code ecosystem with templates for Python, Node, Go; provides tools to add tools, test, validate, register, publish, and audit servers.

Integrates with Red Hat APIs to enable searching Knowledge Centered Support (KCS) solutions, retrieving solution details, searching support cases, and obtaining case details through LLM applications.

A secure Node.js execution environment that allows coding agents and LLMs to run JavaScript dynamically, install NPM packages, and retrieve results while adhering to the Model Control Protocol.

A lightweight, self-hosted MCP server that connects LLM-based agents to Red Hat Lightspeed services, enabling natural language querying of read-only (and optionally write) operations across Advisor, Image Builder, Inventory, Planning, Remediations, and Vulnerability services.

A Python MCP server that provides language models full read/write access to a Node-RED instance through its Admin HTTP API, enabling flow management with structured Pydantic responses and incremental patching.