Awesome-MCP-Servers

作者 YuzeHao2023已验证

A curated list of Model Context Protocol (MCP) servers

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253
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2026/8/23
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⚠️ 第三方软件声明

本 Skill 为第三方开源软件,独立托管于 GitHub。SkillTip 仅为信息目录,不控制或维护底层仓库。所显示的安全检查为自动化且范围有限,安装前请自行审查源码。

阅读服务条款

安装

添加到你的 Claude Code skills 目录:

# Add to your Claude Code skills
git clone https://github.com/YuzeHao2023/Awesome-MCP-Servers

快速入门

使用 Awesome-MCP-Servers 等 Skills 的指南。

安全报告

已验证

上次扫描:—

{
  "status": "PASSED",
  "issues": []
}

README.md

Awesome MCP Servers Awesome

Powered by DartNode

A curated, community-driven list of awesome Model Context Protocol (MCP) servers, tools, frameworks, clients, and utilities. MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized server implementations.


BTW, we provide a full list of MCP (Master Control Program) Servers, which is compiled by a web crawler and contains approximately 6000 entries.


All Documents

Call for translators! We're looking for translators to help translate this spec for everyone!

Read our documentation in the following languages:

LanguageLink
EnglishEnglish
简体中文简体中文
繁體中文繁體中文
日本語日本語
한국어한국어

What is MCP?

MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized server implementations. This list focuses on production-ready and experimental MCP servers that extend AI capabilities through file access, database connections, API integrations, and other contextual services.


Contents

Tutorials

Community


⚠️ Security Warning

When running MCP servers without proper sandboxing, they can execute arbitrary code on your system with the same permissions as the host process. This creates significant security risks.

Warning summary:

  • System Access: Full access to files, network, and system resources
  • Code Execution: Can run commands on your machine
  • Prompt Injection: Malicious prompts could trigger unintended server actions
  • Data Exposure: Sensitive data may be accessed or leaked

Best practices:

  • Use official implementations (marked with ⭐) when available
  • Run servers in VMs or isolated containers
  • Review code and configuration before installation
  • Limit permissions to the minimum required
  • Monitor server activity and logs

Examples of Supported Clients

Many MCP clients and UIs can connect to servers listed here. Examples include (but are not limited to):

  • Claude Desktop / Claude clients
  • Zed
  • Sourcegraph Cody
  • Cursor
  • Visual Studio Code
  • LibreChat
  • Various CLI and browser-based clients

(Icons and links for specific clients are commonly shown on the individual server/project pages.)


Server Implementations (Categories)

  • 📂 File Systems
  • 📦 Sandbox & Virtualization
  • 🔄 Version Control
  • ☁️ Cloud Storage
  • 🗄️ Databases
  • 💬 Communication
  • 📈 Monitoring
  • 🔍 Search & Web
  • 🗺️ Location Services
  • 🎯 Marketing
  • 📝 Note Taking
  • ⚡ Cloud Platforms
  • ⚙️ Workflow Automation
  • 🤖 System Automation
  • 📱 Social Media
  • 🎮 Gaming
  • 💹 Finance
  • 🧬 Research & Data
  • 🤝 AI Services
  • 💻 Development Tools
  • 📊 Data Visualization
  • 🆔 Identity
  • 🔗 Aggregators
  • 💬 Language & Translation
  • 🔒 Security
  • 🔌 IoT
  • 🧑‍🎨 Art & Literature
  • 🛒 E-Commerce
  • 📦 Data Platforms
  • 🤖 Robotics & Physical AI

Legend:

  • ⭐ Official protocol implementation
  • 1,2,3,... Implementation ordering when multiple exist

Reference Servers

These are example/reference servers and core SDK examples demonstrating MCP features.


Official Servers

Official integrations are maintained by companies building production-ready MCP servers for their platforms. (Marked with ⭐ when present)

(For a full list of official servers and vendor-maintained implementations, see the "Official Servers" and "Reference Servers" in this document and the linked repos.)


Tools & Utilities

Helpful utilities to discover, install, manage, and work with MCP servers.

Server Managers:

Other utilities:


Category: File Systems (📂)

Provides access to local or remote file systems with configurable permissions.


Category: Sandbox & Virtualization (📦)

Secure sandbox environments for code execution.


Category: Version Control (🔄)

Git and version control related MCP servers.


Category: Cloud Storage (☁️)

Access to cloud storage platforms.


Category: Databases (🗄️)

Database access with schema inspection and query capabilities.


Category: Communication (💬)

Integration with chat and messaging platforms.


Category: Monitoring (📈)

Access observability and monitoring systems.


Category: Search & Web (🔍)

Web fetching, scraping, and search.


Category: Location Services (🗺️)

Mapping and geolocation.


Category: Marketing (🎯)

Marketing and analytics tools.


Category: Note Taking (📝)

Personal knowledge and notes integrations.


Category: Cloud Platforms (⚡)

Cloud vendors and orchestration.


Category: Workflow Automation (⚙️)

Automation platforms and workflow tools.


Category: System Automation (🤖)

Shell, OS, and task automation.


Category: Social Media (📱)

Social platforms integration.


Category: Gaming (🎮)

Game engines and tooling.


Category: Finance (💹)

Payments, market data, and finance tools.


Category: Research & Data (🧬)

Papers, datasets, and domain data.


Category: AI Services (🤝)

AI model & ML service integrations.


Category: Development Tools (💻)

Developer-focused MCP servers and tools.


Category: Data Visualization (📊)

Charting and diagram tools.


Category: Identity (🆔)

Identity and access management.


Category: Aggregators (🔗)

Single MCP endpoints that expose many integrations.


Category: Language & Translation (💬)

Translation and language services.


Category: Security (🔒)

Security-focused servers and scanning tools.


Category: IoT (🔌)

MCP servers for device and IoT integration.


Category: Art & Literature (🧑‍🎨)

Books, libraries, and creative tools.


Category: E-Commerce (🛒)

Commerce and marketplace integrations.


Category: Data Platforms (📦)

Orchestration and data pipeline platforms.


Category: Robotics & Physical AI (🤖)

Robotics and device control.


Community Servers

A broad collection of community-maintained MCP servers (selected highlights — many more are available in the ecosystem):

(For the exhaustive long list of community servers and links, refer to the aggregated listings in community and official sections across the MCP ecosystem. This README collects and organizes the major categories and many example projects; the community maintains a rapidly growing set of servers — check the linked repos for the latest.)


Clients

Clients and UI tools that consume MCP servers:


Frameworks

Frameworks and scaffolding for building MCP servers:

Frameworks and scaffolding for building MCP servers:


Notes & Recommendations

  • Always run untrusted or community MCP servers in an isolated environment (container or VM) and restrict access to sensitive resources.
  • Prefer official vendor-maintained servers (marked with ⭐) for production use.
  • Check each server repo for documentation about transports (stdio, SSE, HTTP), authentication, and example clients.
  • This ecosystem evolves rapidly — many new servers, clients, and frameworks are added frequently. If you maintain a server, ensure the repo has clear installation and security instructions.
  • SkillFlow MCP Server - Search and discover AI agent skills from the SkillFlow marketplace. Browse 500+ skills with trust metrics, categories, and ratings.

Contributors

If this project is helpful for you, please cite:

@misc{hao2025mcp,
      title={Awesome-MCP-Servers}, 
      author={All Awesome-MCP-Servers Contributors},
      year={2025},
      publisher = {GitHub},
      journal = {GitHub repository},
      howpublished = {\url{https://github.com/YuzeHao2023/Awesome-MCP-Servers}},
}

常见问题

What is Awesome-MCP-Servers?

Awesome-MCP-Servers is an open-source mcp servers skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by YuzeHao2023. A curated list of Model Context Protocol (MCP) servers. It has 1,059 GitHub stars.

Is Awesome-MCP-Servers safe to use?

Yes. Awesome-MCP-Servers passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install Awesome-MCP-Servers?

Clone the repository with "git clone https://github.com/YuzeHao2023/Awesome-MCP-Servers" and add it to your Claude Code skills directory (see the Installation section above).

Are there alternatives to Awesome-MCP-Servers?

Yes. SkillsLLM lists many other MCP Servers skills you can browse and compare side by side. Open the MCP Servers category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh Awesome-MCP-Servers against similar tools.

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