"AI-Powered Virtual Medical Consultation Assistant" matching MCP servers:

Provides medical evidence tools including PubMed search, citation verification, clinical trial lookup, drug information, drug interaction checking, PICO extraction, and medical entity recognition via MCP.

MCP server for evidence-based Chinese legal consultation. It routes labor law questions to a knowledge base and other queries to public search, returning answers with citations and fallback reasons.

An MCP server and web application that enables natural language medical queries and patient data analysis powered by Gemini AI. It allows users to track and analyze patient biometrics, including vitals, sleep patterns, and laboratory results, through a comprehensive set of automated medical tools.

Enables AI-powered knowledge management and creative support by connecting Scrapbox data to Claude. Supports advanced search, relationship analysis between pages, theme extraction, and literary analysis of personal knowledge bases.

This MCP server provides authoritative medical data from FDA, WHO, PubMed, RxNorm, and Google Scholar, enabling drug information lookup, health statistics retrieval, medical literature searching, and clinical guidelines access directly in AI workflows.

Enables AI assistants to query authoritative medical sources such as FDA, WHO, PubMed, RxNorm, and ClinicalTrials.gov for drug information, health statistics, medical literature, clinical guidelines, and pediatric resources. Runs locally with no API keys or cloud dependencies, adding resilience, caching, and evidence grading to every lookup.

Enables AI environments to query authoritative medical APIs for drug information, literature, health statistics, clinical guidelines, trials, and pediatric sources locally without API keys.

Enables AI assistants to query authoritative medical APIs locally without API keys for drug information, health statistics, medical literature, clinical guidelines, and pediatric sources. Provides resilience features such as circuit breakers, rate limiting, caching, and health checks.

Enables AI clients to query authoritative medical sources such as FDA, WHO, PubMed, RxNorm, and ClinicalTrials.gov for drug, literature, guideline, clinical trial, and health-statistics information locally without API keys.

Provides web search and code execution capabilities using OpenAI models, with optional code interpreter and conversation continuity via response IDs.

Enables AI workflows to query authoritative medical APIs locally without API keys, covering drug information, health statistics, medical literature, clinical guidelines, clinical trials, and pediatric sources. Provides resilient access with caching, health checks, and evidence-graded results.

Enables AI assistants to query authoritative medical sources such as FDA, WHO, PubMed, RxNorm, and ClinicalTrials.gov from a local, key-free server. Provides drug searches, health statistics, graded medical literature, clinical guidelines, pediatric resources, and built-in health monitoring without sending data to the cloud.

Enables AI clients to query authoritative medical APIs for drug information, health statistics, literature, clinical guidelines, trials, and pediatric resources locally without API keys. It also provides resilience, caching, health checks, and evidence-grading features for reliable retrieval.

Enables AI clients to query authoritative medical APIs locally without API keys for drug information, health statistics, medical literature, clinical guidelines, and pediatric sources.

Enables AI clients to query authoritative medical sources such as FDA, WHO, PubMed, RxNorm, and ClinicalTrials.gov for drug information, safety reports, health statistics, guidelines, pediatric references, and evidence-graded literature. Runs locally with no API keys required, and adds resilience tooling like health checks, caching, and rate-limit-aware fallbacks.

Enables AI clients to search authoritative drug, health statistics, medical literature, clinical guideline, clinical trial, and pediatric sources such as FDA, WHO, PubMed, RxNorm, and Google Scholar, with local privacy and no API keys.

Enables AI clients to query authoritative medical sources such as FDA, WHO, PubMed, RxNorm, and ClinicalTrials.gov for drug information, medical literature, health statistics, clinical guidelines, and pediatric resources through local MCP tools.

Enables AI assistants and MCP clients to query authoritative medical APIs for drug information, health statistics, medical literature, clinical guidelines, clinical trials, and pediatric resources. Runs locally without API keys, providing private access to sources such as FDA, WHO, PubMed, RxNorm, and Google Scholar.

Enables AI assistants to query authoritative medical sources such as FDA, WHO, PubMed, RxNorm, and ClinicalTrials.gov for drug information, safety data, health statistics, medical literature, clinical guidelines, and pediatric resources. Runs fully locally with no API keys or data leaving the machine, and includes resilience features like rate limiting, circuit breakers, caching, and health checks.

Enables AI clients to query FDA, WHO, PubMed, RxNorm, ClinicalTrials.gov, and other authoritative medical sources for drug information, safety data, health statistics, clinical guidelines, trials, and pediatric literature. Runs entirely locally with no API keys, adding resilience features like rate limiting, circuit breakers, caching, evidence grading, and health monitoring.