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

Enables comprehensive medical research by querying and analyzing data across ClinicalTrials.gov, PubMed, and FDA databases with AI-enhanced cross-database insights, risk assessments, and competitive intelligence.

Enables AI assistants to perform NCBI BLAST sequence similarity searches through natural language, supporting nucleotide and protein searches, custom database creation, and multiple output formats.

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.

An MCP server that enables AI assistants to generate, score, and analyze DNA sequences using the evo2 genomic foundation model. It supports multiple execution modes including local GPU, SLURM clusters, and the Nvidia NIM cloud API for tasks like variant effect prediction and sequence embedding.

MCP server that provides OpenRouter model pricing data, enabling price lookups, trending/cheapest lists, and model searches without an API key.

Provides 11 composable MCP tools for A-share market research, covering quotes, news, technical signals, sector performance, portfolio risk, backtesting, and paper trading, with traceable data sources and calculation basis.

Generates dating profile bios with embedded red flags using the StupidAPIs.

Enables AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.

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.

Exposes MCP tools that compute longevity and metabolic metrics (autophagy index, GKI, MAGE), cardio-renal biomarkers (BUN/creatinine ratio, cardiac output and TPR, nocturnal BP dipping), chronobiology estimates (DLMO, melanopic lux, caffeine clearance), plus neuro-recovery and biomechanics scores. Runs as a zero-dependency Python JSON-RPC 2.0 stdio server so any MCP-compatible client can query these physiological domain calculators.

A zero-dependency MCP suite exposing computational tools across metabolic, cardio-renal, chronobiology, neuro-recovery, and biomechanics domains. It enables clients to derive longevity and physiology metrics such as autophagy index, glucose-ketone ratio, glycemic variability, peripheral resistance, nocturnal BP dipping, DLMO clock time, melanopic lux, caffeine clearance, EEG fatigue entropy, and grip vitality age from user-supplied measurements.

Provides live wait times and office details for all 60 Oregon DMV field offices by scraping the ODOT website, with no authentication required.

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.

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 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 for drug information, health statistics, clinical guidelines, trials, and literature from sources such as FDA, WHO, PubMed, RxNorm, and Google Scholar, running locally without API keys.

Enables AI-powered medical information retrieval through FHIR clinical document search and GraphRAG-based exploration of medical entities and relationships. Combines vector search with knowledge graph queries for comprehensive healthcare data analysis.

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 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 coding and research agents to run paid, cited deep research on AI infrastructure, MCP, and security topics via remote MCP tools, with query-tied excerpt packs and uncited or failed calls billed at $0.

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 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 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.