Awesome MCP Servers is a comprehensive collection of Model Context Protocol (MCP) servers, covering 7,158 MCP servers divided into 33 categories, including AI integration, art and media, browser automation, cloud services, databases, developer tools, file systems, finance, gaming, hardware, healthcare, infrastructure, knowledge management, location maps, marketing, monitoring, multimedia processing, operating systems, project management, scientific research, security, social media, travel and transportation, utilities, and version control, etc.

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.

Postgres MCP Pro is an open - source MCP server that provides comprehensive support for AI agents in database index tuning, execution plan analysis, health checks, and secure SQL execution.

MarketScope AI is an intelligent healthcare market analysis platform that provides functions such as healthcare segment market analysis, product comparison, and sales data insights through AI and natural language processing technologies.

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.

The Kafka MCP Server is an Apache Kafka Model Context Protocol (MCP) server implemented in Go. Through a standardized interface, it enables LLM models to perform Kafka operations. It provides functions such as producing/consuming messages, managing topics and consumer groups, and monitoring cluster health. It supports multiple security authentication methods and can be integrated with AI applications such as Cursor and Claude.

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.

Personal health tracking MCP server, integrated with AI analysis function, supporting fitness, nutrition, and journal management

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).

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 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.

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.

A PostgreSQL performance tuning server based on the MCP protocol, providing AI-driven query analysis, index optimization, database health checks, and performance monitoring functions, supporting HypoPG virtual index testing and multiple deployment modes.

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.

Arcanna MCP Server is a service that interacts with Arcanna AI use cases through the Model Context Protocol (MCP), providing functions such as resource management, Python coding, event query, task management, feedback system, and health monitoring.

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.

An AI customer service support system based on the MCP protocol, integrating Cursor AI and Glama.ai to provide real-time context acquisition and intelligent response generation, supporting functions such as batch processing, priority queuing, and health monitoring.

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 Health & Fitness Coach MCP is a comprehensive project that combines AI intelligence with traditional fitness applications. It enables intelligent interaction between AI tools and fitness data through the Model Context Protocol (MCP) and consists of two major components: a web application and an MCP server.

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.

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.

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.

OMCP is an MCP server implementation based on the OMOP Common Data Model, providing a standardized interface for AI models to query and analyze healthcare data.

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).