"Technology pre-research resources" matching MCP servers:

An MCP server that enables access to clinical evidence from the CIViC database, allowing users to search across variants, diseases, drugs, and phenotypes to support precision oncology research.

Enables querying KOSIS Open API for national health screening depression statistics, calculating depression suspicion rates, and comparing trends by year, gender, and age group.

Enables AI agents to look up businesses, find free appointment slots, book, list and cancel appointments at salons, barbershops, nail and brow studios and clinics. Works read-only without a customer login by returning a pre-filled booking link, and can also run against a built-in demo with sample businesses.

Enables AI assistants to read and analyze Google Fit exported data (activities, daily metrics, workouts, sleep) from Google Takeout, providing tools for queries, resources, and coaching prompts.

A read-only MCP server for the WHOOP API v2 that lets you query and analyze your own recovery, sleep, strain, cycles, and workout data. Note: currently a pre-alpha scaffold with stubbed internals.

Reliable AI access to public health, government, and research data with explicit statistical definitions, currently covering the Finnish Cancer Registry and NORDCAN.

Enables MCP clients to search FHIR R4 patients and observations, access patient data as resources, and generate clinical summaries through prompts, using a public HAPI FHIR sandbox.

A framework that integrates Brain-Computer Interface technology with the Model Context Protocol to enable real-time neural signal processing and AI-powered interactions for healthcare, accessibility, and research applications.

Healthcare billing AI for agents — 12 tools for ICD-10/CPT/HCPCS code lookup (80K+ codes), prior auth prediction, medical NER, claims validation, HIPAA compliance auditing, and provider/drug enrichment. Pay-per-call via credits or USDC.

An MCP server for rehabilitation monitoring that provides tools for patient risk scoring, outcome analysis, report generation, alerts, and research search, along with prompts and CSV data resources.

Connects personal API integrations like Hevy fitness and exposes them as MCP tools, resources, and prompts.

A Model Context Protocol server providing AI assistants with access to healthcare data tools, including FDA drug information, PubMed research, health topics, clinical trials, and medical terminology lookup.

MCP Server for Google Cloud Healthcare API enables Agentic AI for a variety of FHIR-based digital health solutions, from smarter clinical workflows for Health Systems to Pre-Auth frameworks for Payers!

Provides mental health resources for Kenya including therapist finder, crisis lines, rights under Kenya Mental Health Act, workplace wellness, and self-help resources.

Enables local, read-only access to Oura API v2 data, returning pre-shaped physiology such as sleep, chronotype, temperature shifts, and baseline drift for interpretation by AI clients.

Evidence-based supplement intelligence in your terminal, exposed as an MCP server for AI agents to research, compare, stack, and manage supplements.

Integrates with EMRs like Cerner and Epic via FHIR to retrieve patient data, and provides medical research tools (PubMed, clinical trials, FDA) for clinical analysis.

Enables interaction with multiple pre-configured Garmin accounts to query health and activity data such as steps, training readiness, and activity logs. It supports remote access via HTTP/HTTPS, allowing users to connect their Garmin Connect data directly to LLMs like ChatGPT.

Enables AI assistants to search and retrieve structured peptide research profiles with cited, tier-labelled evidence, safety and regulatory status, and to compare two or three peptides side by side without ranking. Also provides research article and FAQ search, category and trend lookups, plus unit conversion, solution concentration, blend and cost-per-amount calculators, all read-only and anonymous.

Enables MCP clients to query and explore self-hosted Apple Health data, including daily metrics, time series, workouts, ECG records, heart notifications, sleep sessions, trends, freshness, and schema resources through authenticated streamable HTTP.