"Construct 3" matching MCP servers:

基于 MCP 协议的专业医学信息查询工具，集成 MSD 手册、MeSH 主题词、医学编码、术语和药品查询等多个权威数据源，支持 Claude Desktop、Cursor 等 AI 应用。

MCP server for hybrid medical consultation integrating Western and Traditional Chinese Medicine, enabling symptom analysis, diagnosis, and treatment suggestions through two specialized models.

为安宁疗护陪护志愿者提供一站式工具，粘贴群聊对话即可自动识别场景，生成标准化安抚话术和后续陪护行动建议。

An MCP server implementing the ROBINS-I V2 framework for risk-of-bias assessment in non-randomized studies, with deterministic algorithms and full provenance. It enables users to parse study documents, specify target trial results, answer signalling questions with evidence-bound quotes, and compute or override domain judgements.

Local MCP server to access your personal health data from E-Nabız (Turkish Ministry of Health) via an LLM. Read-only, secure, and respects privacy.

An intelligent emergency medical coordinator that provides symptom-based hospital recommendations, real-time ETA, and guardian alerts.

Integrates Diabetes:M data with Claude Desktop to access glucose readings, insulin data, food diary, and health metrics through natural language conversations.

Enables graph-based fraud propagation scoring for clinical diagnostics, diffusing risk across entities with a deterministic fallback when the ML model is unavailable.

Enables AI agents to perform structured root cause analysis from clinical incidents and construct learner-ready lesson plans for medical education.

Enables variant annotation and effect prediction using the Ensembl VEP API, with support for batch and single queries.

Exposes phylogenetic tree validation, analysis, styling, export, and Java-based rendering as 21 MCP tools, 3 resources, and 2 prompts for AI assistants. Delegates parsing and rendering to the FigTreeKit kernel, returning reproducible CLI commands and structured artifacts.

Enables comprehensive access to PubChem's chemical database with over 110 million compounds. Supports chemical searches, structure analysis, bioactivity data, safety information, and molecular property calculations through 30 specialized tools.

Provides MCP tools for edge-based pharmaceutical shipment disposition decisions, returning release, review, or quarantine outcomes while recording every decision in a tamper-evident, hash-chained audit trail.

Enables deterministic calculation of ENMG F-wave chronodispersion, persistence, and proximal motor nerve root conduction integrity, with native JSON-RPC tool integration for LLMs and autonomous agents.

Enables AI agents to resolve genes, diseases, chemicals, variants and species to normalized ids, search ~36M PubMed abstracts and PMC full texts by free text or entity, and retrieve the machine-extracted relations between them with the supporting sentences and PMIDs. Supports auditing individual relations with full evidence passages and pulling per-article entity annotations with character offsets.

Enables AI assistants to access CMS Medicare Part D drug spending, prescriber, and pricing trend data through a single MCP tool with 15 actions, deployed on Cloudflare Workers for sub-50ms response times.

Enables AI assistants to operate laboratory instruments through natural language, with safety limits, read-only modes, audit trails, and simulators for practice.

Enables building, running, and optimizing cheminformatics pipelines via composable blocks, with an MCP agent interface for natural language interaction.

Integrates healthcare data from multiple sources (HL7 v2, FHIR, DICOM, device telemetry) and provides clinicians with secure, role-based access to patient context, care unit summaries, device events, diagnostic exams, and other clinical data through specialized MCP tools.

Enables AI assistants to query a synthetic health-insurance claims database through five strictly read-only, parameterized MCP tools, with API-key authentication, per-tool authorization, rate limiting, and fail-closed audit logging. All access is mediated so clients never receive direct SQL or database access.

Enables LLM agents to query de-identified FHIR-shaped hospital data through audited, read-only tools for patients, encounters, conditions, observations, medications, and interaction checks, while any medication write stays a draft that a clinician must confirm out-of-band.

Enables AI agents to manage virtual clinic data including patients, visits, diagnoses, treatments, lab/radiology orders, and search medical literature and internal knowledge base.

Enables deterministic analysis of retinal vessel segmentation data to quantify microvascular branching complexity and capillary rarefaction, exposing JSON-RPC tools for LLM and autonomous-agent workflows.

Enables querying MIMIC-IV medical data using natural language through MCP clients, with support for local DuckDB and cloud BigQuery backends.

Enables deterministic calculation of retinal microvascular box-counting fractal dimension, arborization complexity, and vascular rarefaction from box-size and box-count data through JSON-RPC tools for LLM and autonomous agent workflows.

Enables secure, read-only querying of the e-SUS APS/PEC PostgreSQL data warehouse for clinical extraction, care-line tracking, audit, and public-health indicator monitoring through LGPD-compliant anonymization.

Enables LLMs and MCP clients to interact with patient records, encounters, and practice information through tools for clinical, scheduling, messaging, and administrative workflows.

Calculates Hoffmann reflex recruitment ratios, onset latency, and spinal motoneuron pool excitability from amplitude measurements, exposing deterministic JSON-RPC tools for LLM and autonomous-agent workflows.

Analyzes mammogram CC/MLO views and sorts each breast into a BI-RADS group with a priority level (high_priority, review, or no_suspicious_findings), so physicians can see which women look most worrying and reach a radiologist first. It masks personal data before analysis, never stores images, and runs on a CPU in 1-3 seconds per image.

Enables deterministic calculation of Hmax/Mmax amplitude ratios, reflex latency, and spinal alpha motoneuron pool excitability to assess central neuromuscular fatigue.