"Generating Metrics" matching MCP servers:

Enables querying Brazilian PCDT clinical protocols from Conitec and generating concise, context-specific treatment summaries using a local LLM, with verified literal citations and links to official PDFs.

Integrates Diabetes:M data with Claude Desktop to access glucose readings, insulin data, food diary, and health metrics through natural language conversations.

Exposes NeuroGraph's scientific API to AI models as MCP tools, enabling them to query, analyze, and visualize brain networks — regions, tracts, connectivity, literature, and cross-species homologies — drawn from a portable SSD-based neuroimaging data library. Lets models read real atlas data, load datasets, compute graph metrics, and produce visualization scene descriptors without acting as the scientific engine itself.

Official MCP server for the Vocametrix voice analysis API. Gives AI assistants direct access to clinical voice metrics (AVQI, DSI, jitter/shimmer, CPP), pronunciation assessment, speech transcription, prosody similarity, and AI-powered therapy planning. More than 40 endpoints for SLPs, voice researchers, and healthtech developers.

Enables bioinformatics analysis through natural language conversations with Claude Desktop, automatically generating and executing Python scripts to produce HTML reports and visualizations.

An MCP server that connects AI assistants to OpenEMR instances to manage patient records, clinical trends, and medication safety. It provides 17 tools for tasks such as patient search, drug interaction checks, and generating comprehensive health trajectories and visit preparations.

Provides access to comprehensive public health data from Yale's Population Health Information Visual Explorer, including metrics on immunizations, respiratory diseases, and chronic conditions. It enables users to perform state-level comparisons, time-series analysis, and data filtering across authoritative sources like the CDC and Epic Cosmos.

Integrates with FitSlot API to manage support tickets, provide chatbot assistance with FAQs, and analyze bioimpedance PDF documents with health metrics and personalized recommendations.

Provides comprehensive access to CMS Medicare data including physician services, prescriber information, hospital quality metrics, drug spending, formulary coverage, and ASP pricing for healthcare analysis and decision-making.

An MCP server that gives AI assistants conversational access to MNE-Python for analyzing neurophysiology data (EEG, MEG, sEEG, ECoG, fNIRS). Enables plain-language analysis pipelines, from loading recordings to generating figures and explanations.

Provides access to body composition data from Renpho smart scales, enabling users to query weight, BMI, body fat percentage, muscle mass, and other health metrics with trend analysis over customizable time periods.

Enables AI assistants to interact with a bio-hybrid neuromorphic simulation pipeline, including a layered SNN engine, consciousness proxy metrics, NeuroPlatform wetware bridge, and ethics monitoring via 62 MCP tools, resources, and prompts.

Enables molecular generation, optimization, and analysis through NVIDIA MolMIM API. Supports generating drug-like molecules with desired properties, extracting molecular embeddings, and exploring chemical space around seed molecules.

Enables coverage-aware Apple Health metrics, distinguishing observed values from placeholders and providing day-level coverage and trend tools.

Integrates WHOOP biometric data into Claude and other MCP-compatible applications, providing access to sleep analysis, recovery metrics, strain tracking, and biological age data through natural language queries.

This MCP server enables secure, read-only access to synthetic preventive-care patient records and bounded IRIS namespace health metrics through a small set of allowlisted, parameterized tools.

Enables AI assistants to perform genomic variant analysis using OakVar, including running annotation pipelines, managing 200+ annotator modules, querying variant databases, and generating reports in various formats.

A Python MCP server that exposes health metrics from the Sapphire Wellness App to AI assistants, providing tools for activity, blood pressure, glucose, heart rate, sleep, and SpO2 data.

Enables AI assistants to securely access Epic Healthcare Systems patient data through FHIR R4 API integration. Provides tools for searching patients, retrieving clinical summaries, vital signs, medications, and generating healthcare reports with HIPAA-compliant OAuth 2.0 authentication.

Enables RNA structure analysis, sequence evaluation, and inverse design using geometric deep learning models. Supports both quick computational analysis and long-running batch processing for generating RNA sequences that fold into target structures.