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.

Awesome MCP Security is a collection of resources related to the security of the Model Context Protocol (MCP), including security considerations, papers, videos, articles, tools, and servers, aiming to help users understand and address MCP - related security challenges.

This project is a collection of resources related to the security of the Model Context Protocol (MCP), including research papers, security vulnerability analyses, tools, articles, and other relevant resources. It aims to help developers and security experts understand and address security challenges in the MCP protocol.

A tool for getting and reading Trade Companion column articles on Substack, which needs to be used with Claude AI.

The JFrog Remote MCP Server integrates the capabilities of the JFrog platform into the development environment, connects AI systems with external tools through a standardized protocol, and provides functions such as resource management, artifact search, and security monitoring.

The official MCP server for the Perigon News API, providing various search tools for news articles, stories, journalists, sources, people, companies, etc. It supports connection through HTTP and SSE and can be used by AI assistants to obtain real-time news information.

Awesome MCP Servers is a curated list of Model Context Protocol (MCP) servers that cover a variety of tools and integrations, including browser automation, art and culture, cloud platforms, command - line, communication, customer data platforms, databases, developer tools, file systems, fintech, knowledge and memory, location services, monitoring, search, security, travel and transportation, version control, etc. MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized servers.

This project is a command - line interface (CLI) tool that integrates Arcee AI, TESS, and MCP services. It adopts the Clean Architecture and DDD design principles to provide an abstract layer for unified access to multiple artificial intelligence services.

This is a comprehensive collection of Model Context Protocol (MCP) servers, covering multiple categories such as AI services, art and culture, browser automation, cloud platforms, cloud storage, command lines, communication, customer data platforms, data science tools, databases, developer tools, file systems, finance, games, knowledge and memory, location services, marketing, monitoring, notes, other tools and integrations, research and data, search, security, social media, system automation, travel and transportation, version control, and workflow automation.

The Squad MCP server is a protocol service that connects the Squad product discovery platform with large language model applications, providing a rich toolset for creating, querying, and updating product strategy artifacts directly from an AI assistant.

This project is a server based on the Model Context Protocol (MCP) that provides natural language interaction access to the art collections of the Art Institute of Chicago. It allows AI models to search for artworks in the Art Institute of Chicago and use these works as resources. The server provides various tools, including searching by title, getting specific artworks, full - text search, artist search, finding artworks by artist, etc., as well as a prompt for generating an interactive art gallery.

The Shopify MCP server is a tool that interacts with Shopify store data via the GraphQL API. It provides management functions for products, customers, orders, blogs, and articles, supporting operations such as searching, creating, and updating. It is designed specifically for optimization with AI language models.