"Apple Pay" matching MCP servers:

Enables coverage-aware Apple Health metrics, distinguishing observed values from placeholders and providing day-level coverage and trend tools.

Enables AI agents to query aggregate, device-agnostic PAP therapy analytics from ResMed SD-card or AirCANnect data, including nightly summaries, time-range analysis, and week-over-week comparisons.

Enables portable synthetic virtual-care visits through MCP Apps and browser, allowing users to prepare appointments, rehearse consultations, simulate insurance and self-pay billing, and export FHIR records.

This MCP server enables querying official ANVISA (Brazilian health regulatory agency) process information through a hosted, read-only, pay-per-use tool that works with any MCP client over HTTP.

Enables MCP-integrated prescription review with incomplete laboratory evidence, using deterministic rules and language-model guardrails to enforce approval authority boundaries.

MCP server to query official dental council registration data for Rondônia, Brazil, via a pay-per-use hosted API.

Enables querying official pharmacy registration data from the Brazilian Federal Pharmacy Council via a read-only MCP tool, with pay-per-query pricing.

Enables AI agents to look up what US hospitals charge for a CPT/HCPCS or MS-DRG code near a ZIP — gross charge, discounted self-pay price, and de-identified payer-negotiated rates — sourced from the standard charges files hospitals publish under the CMS price transparency rule. Also compares up to 10 hospitals side by side by CMS Certification Number and reports whether a given hospital's prices are held, and why not, when they aren't.

Enables AI clients to securely access, query, and mutate normalized user-controlled health data (e.g., from Apple Health or Supabase) through a bounded set of MCP tools, with optional OAuth and sandboxed deployment.

Enables LLMs and autonomous agents to calculate pulse arrival time, pulse transit time, pulse wave velocity, and arterial vascular compliance from dual-sensor timestamps through deterministic JSON-RPC tools. Supports continuous cuffless cardiovascular monitoring using a zero-dependency Python implementation.

Enables deterministic calculation of PAT, PTT, pulse wave velocity, and arterial vascular compliance from dual-sensor timestamps for continuous cuffless cardiovascular monitoring via MCP JSON-RPC tools.

Enables MCP clients to list and describe installed medical imaging models and packages, check readiness and runtime information, and submit, monitor, or cancel supervised jobs on Apple Silicon.

Screens providers by name, NPI, license number, or FEIN against Pennsylvania DHS's Medicheck list of roughly 6,750 individuals and businesses ever precluded from the state's Medical Assistance program, flagging current status and noting when DHS's own status field is blank. Also reports coverage statistics such as total rows, currently precluded vs. ended counts, identifier coverage, distinct status values, and date ranges.