truehaiq/awesome-mcp

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Model Context Protocol (MCP) 서버의 종합 컬렉션은 표준화 된 통합을 통해 향상된 기능을 갖춘 AI 모델을 개발합니다.

시작하기 • Browse Servers • 서버 관리

MCP는 무엇입니까?

본질적으로 ** Model Context Protocol (MCP)**는 외부 도구 및 서비스와의 통합을 단순화하여 LLM을 더 강력하게 만들기 위해 설계된 프로토콜입니다. 수동으로 다른 API 및 도구를 연결 대신, MCP는 LLM을 더 쉽고 확장 할 수 있도록 프로세스를 단순화하는 통합 레이어 역할을합니다.

AI 모델에 대한 표준화 된 방법을 제공하여 로컬 및 원격 서비스와 상호 작용 할 수 있습니다. MCP는 원활한 통합을 가능하게합니다.

• Г Secure 파일 시스템 액세스
• • 데이터베이스 연결
• API 통합
• 542️ 개발 도구
• 신청 서비스
• 그리고 훨씬 더 …

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• ** MCP 서버가 시스템에 로컬로 설치된 소프트웨어와 통신할 때 Local**를 사용하십시오. 예를 들어, Chrome 브라우저와 상호 작용하거나 컴퓨터에 파일을 액세스.

• ** MCP 서버가 원격 서비스 또는 API에 연결할 때 Cloud**를 사용하십시오.

What is MCP?

In essence, Model Context Protocol (MCP) is a protocol designed to make LLMs more powerful by simplifying their integration with external tools and services. Instead of manually connecting different APIs and tools, MCP serves as a unified layer that simplifies the process, making LLMs more capable and scalable.

By providing a standardized way for AI models to interact with both local and remote services, MCP enables seamless integration with:

• 🔐 Secure file system access
• 📊 Database connections
• 🌐 API integrations
• 🛠️ Development tools
• 📱 Application services
• And much more…

Local 🏠 vs Cloud ☁️ ?

• Use Local when the MCP server communicates with software installed locally on the system. For example, interacting with the Chrome browser or accessing files on your computer.

• Use Cloud when the MCP server connects to remote services or APIs. For instance, querying a database hosted on a cloud server or fetching data from an external API like a social media platform or a stock market feed.

About this repo

This repository serves as a comprehensive, community-curated index of Model Context Protocol (MCP) servers and tools. Our goal is to help developers, AI enthusiasts, and organizations discover and leverage the growing ecosystem of MCP integrations.

Key features:

• 📚 Categorized listings of MCP servers across various domains
• ⭐ Highlighted premium and official implementations
• 🔍 Easy-to-navigate structure with clear categories
• 🤝 Active community of contributors and maintainers

Each listed server is carefully reviewed to ensure it provides value to the MCP ecosystem. While this is a community-driven list, we work closely with official implementations (like those from modelcontextprotocol/servers) along with high-quality community-contributed servers that extend AI capabilities in meaningful ways.

MCP Servers List

• 🗄️ - Databases
• 🌐 - Web Automation
• 💻 - Development Tools
• 📂 - File Systems
• 📝 - Note Taking
• 🗺️ - Geography
• 📢 - Marketing
• 🔄 - Version Control
• ⚙️ - Workflow Automation
• 🤖 - System Automation
• 📱 - Social Media