io.github.davidmosiah/delx-living-body
Meta-MCP that auto-detects installed wellness connectors and composes them into one body data layer.
Versions
0.2.0latestTools 10
${vendor}_wellness_context Synthetic wellness_context emitted by the demo harness.
living_body_agent_manifest Machine-readable install and operating instructions for AI agents. Call first when onboarding.
living_body_connection_status Ready/not-ready snapshot of local connector detection without calling vendor APIs or child data tools.
living_body_data_inventory Static inventory of composed domains, known connectors, privacy modes and recommended first calls. No live child calls.
living_body_status Detect which Delx Wellness connectors are installed locally. Safe, no subprocess spawning.
living_body_ask Ask a wellness question; composes detected connectors in parallel and returns a synthesized answer + reasoning trace. Spawns subprocesses — requires explicit_user_intent.
living_body_daily_brief Synthetic daily briefing aggregating each detected connector's daily summary/context. Spawns child MCP processes — requires explicit_user_intent: true.
living_body_compose_context Return the normalized delx-wellness-context/v1 shape merged across all detected sources. Spawns child MCP processes — requires explicit_user_intent: true.
living_body_health_check Returns status for every known connector — including missing ones — with install hints.
living_body_capabilities Self-description of this MCP, including the per-connector availability matrix.
Permissions 1
env_vars low