"A server for finding information about FHIR (Fast Healthcare Interoperability Resources)" matching MCP servers:

Enables AI applications to securely search and manage healthcare data from FHIR R4-compliant servers with built-in safety validation for AI-generated clinical observations, preventing recording of physiologically impossible values.

Enables LLM-based agents to interact with FHIR healthcare data through natural language prompts, providing full CRUD operations on FHIR resources, document processing, and semantic search capabilities.

Provides seamless integration with FHIR APIs, enabling AI/LLM tools to search, retrieve, and analyze clinical healthcare data with support for SMART-on-FHIR authentication and multiple transport protocols.

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.

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

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

A comprehensive Model Context Protocol server that provides universal access to multiple FHIR servers with AI-powered clinical analysis capabilities for healthcare data integration and patient care planning.

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

Built by a healthcare IT engineer with 19 years of PACS/RIS/integration experience. Bridges DICOM, HL7v2, and FHIR — maps between standards, decodes vendor private tags (GE, Siemens, Philips), generates Mirth Connect channels, and explains integration patterns. 12 tools covering tag lookup, message parsing, cross-standard mapping, and channel generation.

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.

A Model Context Protocol server that enables Claude to execute Python code using boto3 to query and manage AWS resources directly from conversations.

Provides real-time access to medical data including drug interactions, ICD-10 codes, FDA adverse event reports, and clinical guidelines. It enables LLMs to query databases like openFDA, PubMed, and CMS for pharmaceutical and clinical information.

Enables an AI agent to query a patient-records SQLite database with tools for schema inspection, safe SQL queries, patient risk assessment, and readmission risk analysis.

HandaaS的MCP服务器，提供全域资讯搜索、企业新闻、行业资讯、主题跟踪和企业动态监控能力，帮助用户开展行业研究和舆情分析。

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.

An MCP server that enables interaction with Google's Cloud Healthcare API, allowing users to manage healthcare data, FHIR resources, DICOM stores, and healthcare datasets through natural language commands.

An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.

Three composable MCP servers for clinical AI — FHIR R4 read/search/validate, medical terminology (LOINC/SNOMED/RxNorm/ICD-10), and drug safety reasoning (interactions, dose check, allergy). Apache-2.0, production-ready.