"Developing a FHIR-Based Digital Health Application with EHR, PHR, and Phenotyping Frameworks" matching MCP servers:

MCP server that exposes the ehr_building_data tool to query the Estonian Building Register by EHR code, returning a compact summary of building info (address, technical data, usage, energy certificate, cadastral units) excluding geometry.

Enables users to check HTTP status codes, find broken same-origin links, review SEO basics, and inspect common security headers with polite, permission-based crawling from any MCP client.

Exposes a FHIR endpoint as deterministic read-only tools, providing a context layer for retrieving clinical data from FHIR servers.

Enables interaction with FHIR servers to access, search, and manage FHIR resources, including appointment scheduling and cancellation.

A TypeScript-based MCP server that connects to FHIR servers, allowing access to healthcare data via fhir:// URIs and providing search capabilities for FHIR resources.

A comprehensive MCP server that bridges AI applications with FHIR healthcare data systems, enabling patient data access, clinical data retrieval, and data quality assessment.

Provides safe read-only access to synthetic healthcare data via FHIR R4, enabling AI assistants to search patients, retrieve vitals, and summarize conditions using a public sandbox.

MCP server for FHIR interoperability, enabling natural language querying and manipulation of clinical data with full CRUD operations, semantic search, and RAG capabilities.

Enables interaction with FHIR APIs, specifically for Oracle Millennium Platform, providing tools to access and manage healthcare data such as patient records, clinical data, and administrative information.

Enables MCP clients to search FHIR R4 patients and observations, access patient data as resources, and generate clinical summaries through prompts, using a public HAPI FHIR sandbox.

Provides read/write access to any FHIR-compliant healthcare API with built-in validation, supporting resource management, search operations, and granular permissions through natural language.

Enables AI applications to query and retrieve healthcare data (patients, conditions, observations, medications) from a public FHIR R4 server via MCP tools.

Enables progressive discovery and management of FHIR healthcare resources through intent-based grouping, with support for creating/validating resources, converting between formats, and transforming medical PDFs to FHIR DocumentReference resources.

Provides FHIR Implementation Guide facts via MCP tools, enabling querying of must-support, bindings, constraints, and value-set usage from StructureDefinition artifacts for conformance and testing support.

Enables Claude Web users to manage their job application workflow by storing profile and resume data, analyzing job descriptions, preparing applications, and tracking progress — all with manual submission and no platform automation.

Provides read-only SQL Server health and diagnostic tools using DMVs, enabling users to query server health, active queries with blocking, and missing indexes through natural language.

A Model Context Protocol server that enables standardized interaction with Azure Health Data Services FHIR servers, allowing healthcare data operations through MCP tools.

MCP server for monitoring health of MCP servers, GitHub Actions, GitLab pipelines, and HTTP endpoints with health history, TLS expiry, assertions, diagnostics, and alerts.

Enables MCP clients like Claude to query Chinese A-share market data, including K-line charts with forward/backward adjustment, limit-up and limit-down pools, per-stock fund flows, index quotes, and stock news, with automatic symbol normalization and retry handling for throttled data sources.

Enables AI agents to calculate BMI, BMR, TDEE, daily calorie needs, and macro nutrient splits using mQuickCalc's health formulas.