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Control smart homes, memory, cron jobs, and multi-agent workflows via AI.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "elvatis-mcp" yet — see the docs or source repo.
Using elvatis-mcp connected to my OpenClaw devices, set the living room lights to 40%, turn on the AC to 24°C, and return the execution results.
Returns the device control results, including each device status and whether the action succeeded.
Use elvatis-mcp to create a cron job: every day at 7 AM, open the bedroom curtains and read out the day's schedule, then save the task to memory.
Generates the scheduled job configuration and confirms the job was created and the memory was saved.
Through elvatis-mcp, launch multiple AI sub-agents: one to inspect home device status, one to organize anomaly logs, and one to suggest automation improvements.
Outputs a consolidated summary of each sub-agent's results and actionable automation improvement suggestions.
Connect home automation systems for AI-driven device status checks and control.
Build, debug, and manage software tasks with natural language across LLMs.
Give AI agents persistent memory, searchable knowledge, and automatic consolidation.
Give AI agents persistent memory, searchable knowledge, and evolving identity context.
Control a running Emacs via MCP for editing and status checks.
Connect to the mcp API via MCP to extend AI tool capabilities.