"Methods to Convert Dynamic Web Content to Readable Formats like Markdown, Text, or HTML" matching MCP servers:

Enables natural-language querying of a mock legacy healthcare database and returns validated FHIR resources (Patient, Observation, Condition).

A specialized MCP server for Claude Desktop that enhances AI-assisted medical learning by fetching and processing educational resources from PubMed, NCBI Bookshelf, and user-provided documents.

Enables calculation of composite and directional dynamic postural stability indices, jump-landing shock attenuation, impact load multipliers, and time to stabilization from triaxial force-plate data.

Enables AI assistants to read COVID-19 lateral flow test results from photographs by calling a deployed computer-vision pipeline, returning verdicts like positive or negative with confidence.

Enables deterministic calculation of exertional Inspiratory Capacity drop, End-Expiratory Lung Volume air trapping, and ventilatory mechanics reserve through JSON-RPC tools for LLMs and autonomous agents.

Enables deterministic calculation of dynamic airway closing pressure, static recoil pressure, and transmural gradients using Mead's Equal Pressure Point formulation, with JSON-RPC stdio access for assessing dynamic airway closure risk.

Enables non-invasive deterministic evaluation of respiratory inertance, dynamic compliance, resonant frequency, and mechanical work of breathing through an MCP JSON-RPC tool for LLM and autonomous-agent use.

Enables deterministic calculation of exertional Inspiratory Capacity drop, End-Expiratory Lung Volume air trapping, inspiratory reserve volume compression, and ventilatory mechanics/dyspnea risk through JSON-RPC tools for LLM agents.

Enables deterministic, non-invasive evaluation of respiratory system inertance, dynamic compliance, resonant frequency, and mechanical work of breathing through an MCP-compatible interface.

Enables deterministic spirometry analysis through MCP JSON-RPC, calculating mid-expiratory flow metrics and classifying flow-volume loop patterns such as obstruction, variable extrathoracic obstruction, and isolated small airway disease.

Enables AI agents to rank US healthcare organizations for clinical trial site feasibility, predicting patient accrual for a Graves' disease protocol using claims and registry data.

Enables deterministic physiological analysis of expiratory flow limitation, equal pressure points, airway collapse risk, and gas trapping via Mead's model. Exposes the calculations through a Model Context Protocol JSON-RPC 2.0 stdio server.

Enables deterministic calculation and interpretation of spirometry flow-volume loop metrics, including FEF25-75/MMEF, FEV1/FVC, and FEF50/FIF50 ratio, to classify obstructive patterns and small-airway or upper-airway limitations.

MyChart MCP Server

Search Vascue's public healthcare-operations documentation: AI front desk for clinics, provider-side insurance claims automation, Cliniko integration, security. Public content only.

Enables language models to search biomedical literature, fetch sequences, and follow links across Entrez databases through eleven read-only tools wrapping the nine NCBI Entrez E-utilities. It handles URL building, pacing, redirects, response caps, and API-key redaction so queries can be answered without a browser or scraping.

Explains why two scientific papers disagree. A contradiction explorer for bench scientists that compares two studies' designs and grounds every claim in a verbatim quote from the source text.

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.

Enables AI assistants to clean PDB structures and run initial-stage energy relaxation for biomolecular modeling. It provides a structured workflow for preparing structures before production molecular dynamics or coarse-graining pipelines.

TransBench is a translational research agent that takes free-text clinical observations, decomposes them into biological axes, generates falsifiable hypotheses grounded in PubMed evidence, and designs reproducible computational experiments with concrete datasets for Claude Science.

MCP server for pediatric CKD clinical calculations, providing eGFR-Schwartz estimation and KDIGO 2024 CKD staging, restricted to doctors.

MCP server for automated ICD-10 medical coding. Code clinical text to ICD-10-CM diagnoses, search 74,000+ codes, and de-identify PHI via the AutoICD API.

Enables AI agents to search a directory of Iranian doctors by full or partial name, city or province, and specialty, and returns the best match with alternatives plus clinic addresses, phones, weekly hours, and map links. It is read-only and requires no authentication, so it cannot book appointments or provide medical advice.

Enables read-only consultation of the latest published content on AI applied to medicine—articles, news, podcasts, lessons, events, conferences and repositories—through tools to list recent items, search by topic, and open item summaries with links.

Privacy layer for healthcare AI agents. Pseudonymises patient identifiers (NHS numbers, names, dates of birth, addresses; UK and US) into labelled tokens locally before text reaches an agent, then restores the originals afterwards, keeping the token map out of agent context.

Provides read-only tools for planning, writing, and auditing lesion network mapping and connectome-based localization papers, including design classification, methods checklists, phrasebooks, limitations, and manuscript auditing.

Renders interactive 2D molecular structure diagrams from SMILES notation and computes molecular properties like molecular weight, LogP, and TPSA, directly in the chat.

MCP server that turns a medRxiv DOI into clean markdown full text and provides free, relevance-ranked preprint search via Europe PMC.

Enables searching biomedical images (X-rays, CT/MRI, clinical photos, etc.) from the Open-i database using natural language queries, returning image results as Markdown links.

Enables a dental office's AI agent to verify benefits for a batch of up to 25 patients in a single MCP call, returning coverage percentages, frequency limits, waiting periods and deductible/annual-maximum remaining, each tied to a plan-clause citation. Exceptions such as identity mismatches or ambiguous cases are routed to a human review queue rather than guessed, with every call audit-logged.