The TeslaMate MCP server is a model context protocol server that connects to the TeslaMate database, providing tools for AI assistants to query Tesla vehicle data and analysis, including functions such as vehicle information, driving statistics, charging data, battery health, and location analysis.

PMAT is a zero-configuration AI code context generation tool that provides functions such as code quality analysis, technical debt grading, mutation testing, repository health scoring, and semantic search. It supports over 17 programming languages and can be integrated with AI assistants such as Claude Code through the MCP protocol.

The Medical MCP Server is a dedicated server based on the Model Context Protocol (MCP) that provides AI assistants with access to medical data and medical information tools, including functions such as drug information query, medical literature retrieval, and health topic access.

Sonatype MCP Server is a protocol server that connects AI assistants to Sonatype's dependency management and security intelligence platform, providing developers with real-time insights into security vulnerability scanning, license compliance checking, and health analysis of open-source dependencies.

The official MCP server of MusicMCP.AI allows AI assistants (such as Claude) to call an advanced AI music generation platform through natural language instructions, supports song generation in inspiration mode and custom mode, and provides balance query and health check functions.

The medRxiv MCP Server is a bridge connecting AI assistants with the medRxiv preprint library, enabling the search and access of health science preprints through the Model Context Protocol (MCP).

The medRxiv MCP Server is a bridge connecting AI assistants with the medRxiv preprint library, enabling the search, access, and analysis of health science papers through the MCP protocol.

Fitbit MCP is an unofficial implementation of the Model Context Protocol that allows AI assistants to access and analyze users' Fitbit health and fitness data through the Fitbit public API.

The MCP Document Service is a document management system based on the Model Context Protocol, providing functions such as reading, writing, editing, searching, and health checking of Markdown documents, and supporting seamless integration with AI assistants.

LangCare MCP FHIR Server is an enterprise - level MCP server designed for FHIR R4 electronic medical record systems, enabling AI assistants to securely access and manage patient health records. It provides four general FHIR operation tools, has over 40 built - in clinical workflow guidelines and interactive UI applications, supports multiple back - ends such as EPIC, Cerner, and GCP, is written in Go language, and has enterprise - level security and HIPAA compliance.

This is an MCP server implemented for the VictoriaMetrics anomaly detection tool vmanomaly, which allows AI assistants to directly interact with the vmanomaly REST API through the protocol, enabling functions such as health checks, model management, configuration generation, and documentation search.

Flyto Indexer is a local MCP server that provides code impact analysis, cross - project dependency tracking, and code health scoring for AI assistants, helping developers understand potential impacts before modifying code and avoid destructive changes.

The medRxiv MCP Server is a bridge tool connecting AI assistants and the medRxiv preprint library, enabling functions such as searching for preprints, retrieving metadata, and accessing content in the field of health science through the Model Context Protocol (MCP). It supports local storage and paper analysis prompts.

The first Swiss health insurance MCP server, providing structured access to over 1.6 million pieces of premium data from 55 insurance companies between 2016 and 2026, enabling AI assistants to accurately query and compare Swiss medical insurance costs.

The OpenSentry MCP server is a read-only model context protocol service used to connect to the OpenSentry security command center, enabling AI assistants to query camera status, detection alerts with location data, video records, and system health information.

The Ceph MCP Server is a bridge connecting the AI assistant and the Ceph storage cluster, enabling storage management through natural language and providing functions such as health monitoring, host management, detailed analysis, and secure communication.

The Theta Health MCP Server is a service that connects health data to AI assistants through the Model Context Protocol (MCP), supporting the query and management of health data such as medical records, functional examinations, and device data.

The Pulsyn smart ring health data MCP server allows direct access to health indicators such as sleep tracking, heart rate variability, and activity data in AI assistants via the model context protocol.

The medRxiv MCP Server is a bridge connecting AI assistants with the medRxiv preprint library, providing functions such as paper search and metadata acquisition through the MCP protocol, and supporting health science research.

The Suncture Healthcare MCP Server is a healthcare service tool based on the Model Context Protocol, providing functions such as medical information query, symptom analysis, and BMI calculation for AI assistants. It supports installation via npm or Docker deployment.

The Health & Fitness Coach MCP is an AI - driven comprehensive fitness tracking application, including a Web dashboard and an MCP server. It enables intelligent interaction between the AI assistant and fitness data through the Model Context Protocol, providing functions such as exercise recording, nutrition tracking, and personalized plan generation.

An MCP server tool for analyzing Aave V3 liquidation opportunities on the Ethereum mainnet, providing real - time health factor monitoring, liquidation opportunity analysis, user position tracking, and batch address checking functions, and is specifically designed for AI assistant integration.

The medRxiv MCP Server is a bridge connecting AI assistants to the medRxiv preprint library, providing functions for searching, obtaining metadata, and accessing content of health science preprints via the Model Context Protocol (MCP).