Three things the write surface claimed but did not hold.
Scope: the run bodies never re-checked ctx.canWrite. Enforcement was
real but lived entirely in the registration decision, and the test
asserted registration only — so a refactor that registered the write
tools unconditionally and meant to refuse at call time would open the
surface with the suite still green. Wrap every run body in a scope
guard at the registry level, so a new write tool inherits it, and drive
the run bodies directly from a read-only context in the test.
Free text: medication names, doses, treatment classes and lab analyte
names were interpolated into tool prose with no delimiter. A lab
analyte name is transcribed out of an uploaded document, so a hostile
document chooses it, and the write tools ride the same wire. Fence the
assembled prose with the shared data-fence markers and scrub short
result titles, which would leak markers into a host's result list.
Confirm: the header called the confirm flag a PROTOCOL-LEVEL CONFIRM
GATE. It is a client-asserted boolean with nothing binding it to a
prior preview. Binding it to a server-issued preview token would prove
only that a preview call happened, which any client can do, so it buys
no human-in-the-loop for a round trip and server state the stateless
transport does not want. Describe it as the convention it is and name
what actually bounds the blast radius.
Wrist temperature, cardio recovery, sleep score, breathing
disturbances, strain/load, and the rest of the v1.10/v1.18.1
metric-status-registry ids were already resolvable through
compare_metric / get_metric_baseline / detect_changepoints (an exact
registry-id or display-name match), but sat off the Coach snapshot
inventory entirely — so list_metrics, the measurements-inventory
resource, and search never advertised them. A discover-before-fetch
assistant, which the server's own instructions direct, could never
learn they existed.
Adds a fixed, reviewed allowlist (MCP_METRIC_STATUS_DISCOVERY) plus a
metricStatusDiscoveryRows() presence probe, mirroring the existing
MCP_CLINICAL_SIGNALS pattern: one grouped presence query, appended as
supplement rows to list_metrics and the inventory resource, and merged
into the same probe search already runs for the v1.25 clinical
signals. fetch(id) now hydrates these ids via the baseline read the
same way it already does for clinical signals.
Adds MCP coverage for ECG recording metadata (recorded time, duration,
sampling rate, sample count, average heart rate, lead, and the
device's own rhythm classification) — previously unreachable because
ECG has no MeasurementType and so cannot appear in list_metrics or the
metric resource templates.
get_ecg_recordings mirrors GET /api/insights/ecg exactly, down to the
select clause: waveformEncrypted is never selected, so a decrypt can
never happen on this path. Non-diagnostic framing carries through:
classificationSource is a fixed "device" literal, and the description
states plainly that HealthLog never re-classifies. Gated on both the
insights module and the insightStatus assistant-surface flag, mirroring
the route's own two-layer gate.
Adds MCP coverage for the intraday pulse / "shape of the day" —
previously unreachable, since get_metric_series only serves daily
aggregates and cannot answer "what happened this afternoon?" or "was I
tense during the meeting?".
get_intraday_pulse is a thin wrapper over loadIntradayPulse, returning
the same DTO GET /api/insights/pulse/intraday serves verbatim: the
10-minute mean shape (dense-90d, hourly-grain fallback outside that
window per the resolution field), the resting baseline, and the
cautious elevated-at-rest tension window when every confidence gate
holds. Gated on the insights module; never fabricates a reading for a
day with no data.
Adds MCP coverage for the NutrientIntakeDay pipeline (water, caffeine,
24 micronutrients) — previously fully unreachable over MCP, and
search("water") / search("vitamin") silently miscollided or read as
honest absence even for a daily logger.
get_nutrients is a thin facade over the same two reads GET
/api/nutrients and GET /api/nutrients/daily run: the tz-anchored
day-key math, the sum-across-sources fold, and the sex-aware EFSA
reference resolution. Gated on the opt-in nutrients module, mirroring
both backing routes. Discoverable via search (a grouped presence
probe) and fetch, plus a healthlog://nutrient/{code} resource template
with completion + listing scoped to the user's own logged codes.
Grip strength, pain (0–10 NRS), waist circumference, and waist-to-height
existed in the measurement enum, signal registry, and FHIR export but had
no web entry, no detail page, single non-sex-aware bands, and a split-brain
MCP exposure. This closes those gaps.
Web capture: the four signals join the manual measurement form, so a
web-only self-hoster can log them (the iOS client and the measurements API
already could).
Detail pages: flip detailPage on for the four signals and mount each on the
shared HealthKit metric template (chart, stat strip, Coach-read strip,
assessment card) via routed sub-pages and tab-strip pills, the same detail
spine every other metric carries.
Sex-aware bands: grip strength (EWGSOP2 men 27 / women 16 kg) and waist
(WHO men 94 / women 80 cm) now classify by the profile sex through the
age/sex norm resolver the assessment already threads; the resolver also
returns a sex-specific, age-independent band when no date of birth is set.
Fix the waist-to-height boundary so the NICE >= 0.5 rule is correct (the
last in-range value is 0.49).
MCP single source of truth: decouple the registry mcp facet from the Coach
snapshot — a signal can be MCP-readable without being on the Coach surface.
Mark the four physical signals mcp:true, derive the MCP rich-reads clinical
set from the registry flag instead of a duplicate allowlist, and relax the
invariant to coachSnapshot implies mcp (not the reverse). PHQ-9 / GAD-7 and
the environmental signals stay mcp:false and unreachable. compare_metric and
detect_changepoints now advertise clinical-signal support to match
get_metric_baseline.
Bring the new physical clinical signals onto the MCP read surface through
the existing rollup-backed reads. Grip strength, pain (0-10 NRS), waist
circumference, and waist-to-height ratio now resolve in get_metric_baseline,
compare_metric, and detect_changepoints, are discoverable through search
(present-only), and hydrate through fetch (metric:<KEY>).
These signals sit off the Coach snapshot by design, so the MCP layer owns
an explicit exposure allowlist and consumes the signal registry only for
grounding (backing measurement type, unit, population band). The PHQ-9 /
GAD-7 mental-health screeners and the environmental signals are absent from
the allowlist, so they never resolve through any read tool. The longevity
lab panel is already reachable through get_labs and the lab resource
template; no change needed there.
Add three grounded read tools, each a thin façade over an existing
server-authoritative engine (no new analytics, userId from the session):
- get_medication_schedule: next-due / overdue per active medication via
the canonical recurrence engine (computeDisplayDue), with as-needed
flagged and no scheduled due time.
- get_integration_status: per-provider sync health (connected, last sync,
reauth-required/failing) from the integration-status ledger, so a user
can see why their data is stale. No secrets or tokens.
- get_preventive_care: the user's already-configured Vorsorge reminders
with their persisted next-due dates and an overdue flag; it surfaces
configured reminders only and invents no screening logic.
Each declares an output schema, read-only annotations, and {present:false}
on absence. Page the search tool across the full assembled result set
(the prior 200-row scan made later items unreachable even through the
cursor) and give each result a per-item deep link where an id exists.
Bridge the five already-built, grounded Coach retrieval tools the
inventory already advertised but the wire was missing — closing the
advertise-but-missing self-inconsistency — each a thin wrapper over the
existing read with the same gates and present:false contract. Add a
multi-metric fan-out that loops the single-metric read, and a per-analyte
lab-history mode on the labs read. Declare a structured output schema on
every remaining tool so structured content validates for both a miss and
a hit. Page the large reads (search, lab history, multi-metric) behind an
opaque cursor. Return plain-text, citation-ready summaries from fetch
with per-item deep links instead of a JSON dump.
Expose four read-only relational tools and one prompt over the MCP wire,
each a thin re-export of an existing server-authoritative engine — no new
statistics, no new business logic:
- get_correlation: the FDR-controlled, lag-aware association between two
named metrics, selected out of the existing correlation discovery the
Coach and the insight route already run. Descriptive, never causal.
- compare_metric: two metrics over the same trailing window, or one metric
across two trailing windows, computed over the WMY rollup readers with a
delta only when both sides share a unit.
- get_metric_baseline: where today's reading sits against the user's own
usual range (median ± robust deviation) plus the strongest lagged driver,
reusing the metric-page baseline builder. Honest-null below the learning
floor — never a fabricated range.
- detect_changepoints: level shifts over the rollup tier via a small in-repo
CUSUM binary segmentation with a high firing bar.
- doctor_visit_summary prompt: a structured, grounded visit-prep summary
assembled from the doctor-report data path so the numbers match the
exported PDF, with the grounding framing injected once — data and context
only, no diagnosis or verdict.
Every tool returns values, units, reference bands and provenance, declares
read-only / non-destructive / closed-world annotations plus an output schema,
and reports { present: false } for absence. All reads stay session-narrowed
and read-only; the existing security posture is unchanged.
- Add the `search` + `fetch` retrieval pair with the exact ChatGPT wire
shapes (`{id,title,url}[]` and `{id,title,text,url,metadata}`), backed by
the same server-authoritative reads and returning real deep-link URLs into
the web app for citations. Without these the server is invisible in
default-mode ChatGPT.
- Annotate every read tool `readOnlyHint`/`destructiveHint:false`/
`openWorldHint:false`; structured tools also declare an `outputSchema` and
return `structuredContent`. Omitting the hints is a validation error in the
connectors.
- Reject a cross-origin browser request to `/mcp` with 403 (DNS-rebinding
defense) and point the 401 `WWW-Authenticate` at the resource metadata.
Introduce a read-only Model Context Protocol surface built on the official
@modelcontextprotocol/sdk so a user can query their own HealthLog data from an
MCP-capable assistant over local stdio with a pasted, scoped Bearer token — no
extra infrastructure.
The tool and resource layer in src/lib/mcp is transport-agnostic: five read
tools — list_metrics, get_metric_series, get_medication_compliance, get_labs,
get_correlations — each a thin wrapper over the existing server-authoritative
retrieval paths, returning structured values, units, reference bands, and
provenance with an explicit { present: false } for absence and no prose
verdicts. Two resources expose the user's profile (data-minimised) and
medication list. A stdio entrypoint (src/cli/mcp-stdio.ts, pnpm mcp:stdio)
resolves the token through the shared Bearer path and binds the session to
<user>:<token>; with no token it refuses to start.
Read-only and admin-unreachable by construction: only read tools are
registered, and requireAdmin stays cookie-only so the Bearer/MCP wire can never
elevate. Covered by unit tests for every tool and resource, the auth/scope
model, and the cookie-only admin boundary. The server ships in the existing
container; docker compose up is unchanged.
Marc-André Bombeck