"A server for bio-medical data or research using MCP" matching MCP servers:

Enables AI assistants to perform quality control analysis on high-throughput sequencing data using FastQC and MultiQC. It supports single-file and batch processing of FASTQ/FASTA files and generates comprehensive, interactive summary reports.

MCP server adapter that exposes A-share stock data tools, prompts, and resources via FastMCP, enabling querying of stocks, K-lines, financials, sectors, and market hot spots through natural language.

An MCP server that provides comprehensive medical information by querying multiple authoritative medical APIs including FDA, WHO, PubMed, Google Scholar, and RxNorm.

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 tools to locally query authoritative medical sources like FDA, WHO, PubMed, RxNorm, and related APIs for drug information, health statistics, clinical guidelines, trials, and medical literature without API keys.

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 sources such as FDA, WHO, PubMed, RxNorm, and ClinicalTrials.gov for drug information, health statistics, medical literature, pediatric guidance, and clinical guidelines. Runs locally with no API keys required and includes resilience features like caching, rate limiting, circuit breakers, and health checks.

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 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.

A Windows-optimized server providing universal data analytics for JSON and CSV files through over 32 tools including schema discovery and interactive visualizations. It is specifically designed for seamless integration with Claude Desktop on Windows.

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 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 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.

Enables AI assistants to query authoritative sources like FDA, WHO, PubMed, RxNorm, and Google Scholar for drug information, health statistics, clinical guidelines, trials, and medical literature. It runs locally with no API keys, so data stays private while results come back with evidence grading and resilient fallbacks.

Enables AI assistants to query authoritative medical sources such as FDA, WHO, PubMed, RxNorm, and ClinicalTrials.gov for drug information, safety data, health statistics, clinical guidelines, pediatric resources, and evidence-graded literature. Runs locally with no API keys or data leaving the machine.

An MCP server that provides comprehensive medical information by querying authoritative APIs including FDA, WHO, PubMed, RxNorm, and Australia's PBS, enabling drug searches, health statistics, medical literature, drug nomenclature, and PBS subsidy queries.

Enables fetching weather forecasts for the USA via NWS API and for Israel via browser automation using Playwright.

Enables Claude Code to interact with a TACC or SLURM HPC cluster for bioinformatics pipelines, allowing job management, log reading, file browsing, remote script execution, and job submission through natural language.

Enables AI-powered research by breaking a topic into subtopics, gathering information via agents, and compiling a report. Integrates with LangGraph and RAG for orchestration and contextual retrieval.

MCP server for web research using anti-detect Camoufox browser. Enables search, page reading (including JS/SPA), batch fetching, clicking, typing, and live browsing sessions with caching and retries.

MCP server for connecting Claude Desktop to a local medical knowledge base with real-time file watching, enabling natural language interaction with medical documents.

Enables AI assistants to look up medical billing codes, denial reasons, and payer rules for faster claim resolution.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

Enables users to conduct evidence-driven product research through MCP by importing documents, extracting JavaScript code clues, recording cited facts and inferences, tracking validation, managing research lifecycles, and exporting Markdown or JSON reports. It provides 25 MCP tools for turning source materials into traceable research findings and verification plans.

Research methods, workflow tools, and independent review for AI agents, packaged as a Skill, plugin, and local MCP server.

A simple MCP server implementation in TypeScript that communicates over stdio, allowing users to ask questions that end with 'yes or no' to trigger the MCP tool in Cursor.

Enables LLM clients to access crop yield predictions from RGB imagery, topic-based PDF literature, and soil lab/moisture CSV data.

Enables AI agents to control a Playwright-driven browser through natural-language instructions, including page interaction and live browser task execution.

A collection of MCP servers providing medical calculation tools (eGFR, pregnancy due dates, pediatric asthma score, strep McIsaac) for AI assistants, with support for Chinese medical terminology and detailed clinical explanations.