"Philips Hue" matching MCP servers:

Enables control of Philips Hue lights via Bluetooth LE directly from Claude, without requiring a Hue Bridge or internet connection.

A Model Context Protocol interface that enables AI assistants like Claude to control Philips Hue smart lighting systems through natural language commands.

Enables control of Philips Hue lights through the Model Context Protocol, providing tools for turning lights on/off, setting brightness and color, and retrieving light status.

A Model Context Protocol server that enables AI assistants to control Philips Hue smart lighting systems through natural language commands.

Enables AI assistants to control Philips Hue smart lighting systems using natural language, supporting light control, group management, scenes, and presets.

Enables discovery and control of Philips Hue lighting devices via a local bridge using the CLIP v2 API, without any cloud dependency.

Enables users to control Philips Hue lights through natural language, set moods, save favorites, and learn preferences over time.

Enables control of Philips Hue lights through VS Code Copilot or Claude Desktop using natural language commands. Supports turning lights on/off, adjusting brightness, changing colors, and listing available lights on your Hue Bridge.

Enables Claude to control Philips Hue lights through a Hue Bridge on the local network, handling plain-language requests for on/off, brightness, color, scenes, looping effects, and whole-room power budgets. Fades and timers run on the bridge itself, and no Hue cloud account is required.

Controls Philips Hue lights based on Claude Code session events, using color animations to indicate Claude's status (thinking, working, success, etc.).

A production-ready Model Context Protocol (MCP) server that enables Claude to control Philips Hue lights through natural language commands.

MCP server to query UK higher-education open data including National Student Survey results, student outcomes, and graduate earnings. Data is downloaded locally from official sources and compared against benchmarks.

An MCP connector that lets AI agents search and read U.S. case law and statutes from Freecase, providing tools for full-text search and retrieval of legal documents.

Compares weekly work reports against original data to identify incorrect values, missing items, and narrative inconsistencies, providing verification results to users.

Enables agents to search a lightweight catalog, inspect permissions, lazily start trusted MCP servers, and call child tools without keeping all schemas in context. It also loads approved skills on demand and routes third-party additions through a human approval queue.

Bridges multiple CLI coding agents (Codex, Cursor, OpenCode, Claude, Antigravity) into any MCP client, enabling delegation of prompts, parallel execution, and code review workflows.

A cross-AI-agent local task context sharing MCP server that allows clients like Codex, Claude Code, Hermes, and VS Code to read and write the same task state, enabling task tracking and context distillation.

Enables external agents to deliver queue, steer, and task messages to a running dsh web instance and query session status, with configurable trust and dangerous-command filtering.

Enables natural-language querying of US utility emissions, generation mix, and climate alignment data through any MCP client.

A meta-MCP server that acts as a single connection point to lazily spawn and proxy multiple MCP servers, reducing context bloat and process overhead.