@lumiastream/mcp
OfficialRelated Servers
Alternatives to @lumiastream/mcp
No user-submitted related servers found.
Related Servers
- AlicenseBqualityBmaintenanceMCP server that gives AI assistants direct control over Streamlabs Desktop, enabling scene switching, source/audio management, and streaming/recording controls through natural language.59MIT
- AlicenseAqualityAmaintenanceA comprehensive MCP server that enables AI assistants to interact with Home Assistant, control smart home devices, query states, execute services, and manage automations via natural language.7772,385 PyPI4,867MIT

wlanpi-mcpofficial
AlicenseBqualityBmaintenanceAn MCP server that exposes WLAN Pi capabilities like device info, Wi-Fi scanning, service management, and VLANs to AI assistants via the wlanpi-core REST API.711BSD 3-Clause- AlicenseNot gradedqualityCmaintenanceAn MCP server that enables AI assistants to control Home Assistant via natural language, including device control, automation management, and system configuration.MIT
- AlicenseNot gradedqualityDmaintenanceMCP server for Bitfocus Companion, enabling AI assistants to control buttons, triggers, variables, and connections.8 npm5MIT
- AlicenseNot gradedqualityCmaintenanceMCP server for Sundial, enabling AI assistants to control Corsair iCUE lighting, manage presets, and configure automation based on sunrise/sunset.MIT
TDQS
Scored across 41 tools
Most tools have clearly distinct purposes, but there is minor overlap, e.g., control_queue (manages alert/effect queue and command cooldowns) and set_command_state (enables/disables commands) both relate to command management, potentially causing confusion.
All tool names follow a consistent verb_noun pattern using snake_case, e.g., clear_chat, create_clip, set_color, trigger_alert. No mixing of conventions, making the set predictable and easy to navigate.
With 41 tools, the server covers a broad integration with Lumia Stream's features. While slightly higher than the typical ideal range (3-15), the count is justified by the complexity of streaming control across multiple platforms.
The tool set covers core streaming operations: chat, events, polls, predictions, lights, overlays, commands, alerts, moderation, and variables. Minor gaps exist, such as a dedicated tool for directly managing Twitch channel points rewards, but overall coverage is strong.