elvatis-mcp
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TDQS
Scored across 37 tools
Most tools target distinct resources, but there are overlapping groups: five AI prompt-run tools, multiple status/list/history tools, and home_sensors vs home_get_state. The descriptions help differentiate them, but an agent must read carefully to avoid misselection.
Naming is readable and mostly snake_case, with domain prefixes like home_, openclaw_, and remote_. However, the pattern shifts between noun-only names (home_scene, local_llm_models), verb-object names (openclaw_cron_create), agent-verb names (gemini_run), and bare nouns (llama_server), so it is not fully predictable.
37 tools is too many for a single MCP surface, exceeding the 25+ threshold even though the server spans home automation, AI backends, remote operations, and OpenClaw management. The breadth is real, but the sheer count makes routing and selection costly.
Core workflows are well covered: cron has full create/edit/delete/list/run/history, memory has write/read/search, AI backends have run/model management, and Docker/systemd/file operations are covered. Minor gaps exist around generic Home Assistant entity control, scene listing, and delete/update operations for files or memory, but these can be worked around via remote_shell or openclaw_run.