This is a continuously updated curated list of MCP servers, covering multiple categories such as browser control, art and culture, cloud platforms, command - line, communication, customer data platforms, databases, developer tools, data science tools, file systems, finance and fintech, games, knowledge and memory, location services, marketing, monitoring, search, and utilities. Each project comes with a GitHub link and the number of stars, making it easy for users to quickly understand and use.

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.

This project is a list of MCP servers, covering multiple fields such as browser automation, tool integration, system automation, AI services, search, commands, workflow automation, social media, communication, customer data platforms, databases, knowledge storage, development tools, file systems, cloud storage, finance, location services, monitoring, research data, security, travel, data visualization, notes, marketing, identity, etc.

The Linked API MCP Server is a tool that connects your LinkedIn account to AI assistants. It securely and automatically enables functions such as potential customer search, message sending, profile analysis, and market research through a cloud browser. It is suitable for scenarios such as sales automation, recruitment assistance, and conversation management.

Awesome MCP Servers is a curated list of Model Context Protocol (MCP) servers, covering multiple fields such as browser automation, art and culture, cloud platforms, command - line tools, communication, customer data platforms, databases, developer tools, file systems, finance and fintech, games, knowledge and memory, location services, marketing, monitoring, search, security, travel and transportation, version control, and other tools and integrations.

The OpenFacet MCP Server is an implementation based on the Model Context Protocol (MCP), specifically designed for the OpenFacet diamond pricing API. It provides transparent real-time diamond pricing data, including interpolation algorithms and in-depth market analysis. This project is written in pure JavaScript, has no external dependencies, and supports both Node.js and Cloudflare Worker runtime environments.

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.

An unofficial Schwab MCP server implemented in TypeScript, serving as a bridge between AI assistants and the Schwab API, providing functions such as account management and market data query. It needs to be deployed on Cloudflare Workers by the user themselves.

A stock price query server based on FastMCP, providing real-time stock market data through yfinance, supporting querying real-time stock prices, historical prices, and detailed stock information, and can be deployed to the FastMCP cloud platform.