"A technology or software for real-time speech processing" matching MCP servers:

Enables LLMs and autonomous agents to calculate pulse arrival time, pulse transit time, pulse wave velocity, and arterial vascular compliance from dual-sensor timestamps through deterministic JSON-RPC tools. Supports continuous cuffless cardiovascular monitoring using a zero-dependency Python implementation.

Enables deterministic, non-invasive calculation of pre-ejection period and left ventricular ejection time, with rate-corrected indices and inotropic performance classification exposed as JSON-RPC tools for LLM and agent workflows.

Enables deterministic calculation of PAT, PTT, pulse wave velocity, and arterial vascular compliance from dual-sensor timestamps for continuous cuffless cardiovascular monitoring via MCP JSON-RPC tools.

Enables AI agents to rank US healthcare organizations for clinical trial site feasibility, predicting patient accrual for a Graves' disease protocol using claims and registry data.

Enables deterministic calculation of dark-adaptation kinetics and photoreceptor recovery metrics from post-bleach luminance sensitivity curves, supporting early nyctalopia and macular screening.

Enables scenario-based clinical communication practice through MCP tools for discovering scenarios, starting sessions, sending practitioner turns, and receiving evidence-linked evaluation feedback.

Enables LLM agents to query de-identified FHIR-shaped hospital data through audited, read-only tools for patients, encounters, conditions, observations, medications, and interaction checks, while any medication write stays a draft that a clinician must confirm out-of-band.

Enables assessment of lower-extremity chronic venous insufficiency, valvular competence, and calf muscle pump performance from digital photoplethysmography data, including reflux grading and tourniquet localization.

Enables users to model scotopic photoreceptor kinetics, detect rod-cone break points, calculate threshold-crossing times, and receive retinoid-cycle and Bruch membrane health guidance through an MCP stdio interface.

Enables genomic sequence analysis through the Evo 2 model, supporting DNA sequence scoring, embedding, generation, and variant effect prediction with multiple model checkpoints (7B, 40B, 1B parameters).

Exposes four CMS public datasets as callable tools in Claude conversations, enabling natural-language real-world evidence analytics without SQL expertise.

A Model Context Protocol server that provides AI agents with a unified interface for real-time EEG acquisition, replay, processing, visualization, recording, and stimulation from over 66 BrainFlow boards.

Enables variant annotation and effect prediction using the Ensembl VEP API, with support for batch and single queries.

Enables Claude to read a user's Oura Ring data—including sleep, readiness, activity, stress, workouts, heart rate, and personal info—through a self-hosted, read-only connector deployed to the user's own Vercel account.

Enables deterministic psychoacoustic modeling of dichotic hearing thresholds, interaural phase differences, brainstem processing scores, and cocktail-party speech-in-noise intelligibility through JSON-RPC tools.

Enables Alexa+ users to coordinate household pet care by logging feeding, medication, activity, litter, and health observations for dogs and cats, with evidence-grounded triage, Q&A, and daily briefings backed by a verified veterinary library and citations.

An open source biomedical research agent that provides LLMs with 28 tools for drug discovery, protein analysis, literature search, medical imaging, omics, and sandbox execution, all running locally via Ollama and MedGemma.

Enables deterministic psychoacoustic modeling for dichotic hearing tests, including interaural phase extraction, decibel advantage scoring, brainstem processing, and speech-in-noise intelligibility through JSON-RPC tools for LLMs and autonomous agents.

This server enables interacting with the National Digital Health Mission's Health Information User (HIU) API, allowing agents to access and manage health information through the Multi-Agent Conversation Protocol.

Enables language models to search biomedical literature, fetch sequences, and follow links across Entrez databases through eleven read-only tools wrapping the nine NCBI Entrez E-utilities. It handles URL building, pacing, redirects, response caps, and API-key redaction so queries can be answered without a browser or scraping.

Explains why two scientific papers disagree. A contradiction explorer for bench scientists that compares two studies' designs and grounds every claim in a verbatim quote from the source text.

An MCP server implementing the ROBINS-I V2 framework for risk-of-bias assessment in non-randomized studies, with deterministic algorithms and full provenance. It enables users to parse study documents, specify target trial results, answer signalling questions with evidence-bound quotes, and compute or override domain judgements.

Enables scoring the WHO-5 Well-Being Index from five answers, returning a 0–100 score and a low, reduced, or normal band without providing a diagnosis.

Verified ICD-10-CM code lookup & validation for AI agents — official descriptions, not guesses.

Enables AI assistants to clean PDB structures and run initial-stage energy relaxation for biomolecular modeling. It provides a structured workflow for preparing structures before production molecular dynamics or coarse-graining pipelines.

Monitors PubMed and medRxiv for configurable research topics, summarizes papers using a local LLM, and stores deduplicated results in a local database.

Enables querying Anvisa's open data for drug registration status and recent medical devices, with heuristic AI-use classification using a locally hosted LLM.

Enables Claude Desktop to query and analyze diabetes data from Omnipod 5 and Glooko through natural language, providing clinical audit and triage insights such as time in range, trends, and bolus analysis.

Clinical research MCP server providing real-time access to PubMed (35M+ papers) and ClinicalTrials.gov (400K+ trials). Built for trial coordinators and life sciences teams. No API key required.

Enables AI agents to search a directory of Iranian doctors by full or partial name, city or province, and specialty, and returns the best match with alternatives plus clinic addresses, phones, weekly hours, and map links. It is read-only and requires no authentication, so it cannot book appointments or provide medical advice.