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

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 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 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.

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 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 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.

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 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 agents to call tools through a security gateway that intercepts requests, enforces deterministic policy and risk checks, blocks or escalates high-risk actions for human approval, and keeps tool credentials and audit logs protected.

Search medical codes including ICD-10, LOINC, and clinical terms for conditions, procedures, and drugs via natural language queries.

Enables medical information retrieval and drug interaction checking via MCP, integrating a local knowledge base with Grok AI for fallback queries.

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 comprehensive medical information by querying authoritative sources including FDA drug database, WHO health statistics, PubMed literature, RxNorm nomenclature, Google Scholar, and Australia's PBS API through 22+ specialized tools.

MCP server exposing ATLAS research capabilities: live tokenized stock market data, on-chain source-of-truth reads, and published research atlases. Connects to MCP clients over stdio with no API keys required for public testnet endpoints.

Enables following a creator's bio link to detect their newsletter, products sold, and contact emails across supported platforms and link-in-bio pages.

Enables MCP clients like Claude to query Chinese A-share market data, including K-line charts with forward/backward adjustment, limit-up and limit-down pools, per-stock fund flows, index quotes, and stock news, with automatic symbol normalization and retry handling for throttled data sources.

Provides A-share (Chinese stock market) quantitative analysis through tools for stock screening, northbound capital flow tracking, dragon-tiger list analysis, margin trading, sector analysis, technical indicators, IPO info, and limit-up/down statistics using akshare data.

A lightweight MCP canary for ModelScope hosted STDIO that verifies package installation, MCP initialization, and tool discovery without loading models or medical data.

提供A股实时行情、历史K线、财务报表、技术指标等全方位数据查询的MCP服务器，支持盘中即时更新及批量查询。

Enables evidence-grounded implementation research by searching GitHub, scoring candidate repositories, extracting source evidence, and generating planning artifacts like research and implementation checklists.

Enables searching China's NMPA medical-device Unique Device Identification register by product/trade name or model, resolving individual UDI-DIs, looking up manufacturers and their device counts, and listing devices whose latest published version changed since a given date.