awesome-mcp-servers is a curated list of production-ready and experimental Model Context Protocol (MCP) servers, organized by scope and language. It includes official, local, and cloud service implementations, with translated README documentation available in multiple languages.
Project overview
The list distinguishes between Local and Cloud service MCP servers and provides a visual legend categorizing servers by implementation language (Python, TypeScript, Go, etc.) and scope (Cloud, Local, Embedded), making it easier to find servers that match specific deployment constraints.
Project type
MCP
Use cases
Automation
Deployment
Refer to project documentation
License
MIT
Best for
Developers and AI engineers who need to discover and navigate available MCP servers organized by scope and language.
Key capabilities
A curated list of MCP servers, including official, local, and cloud service implementations.
Provides translated README documentation in multiple languages including Thai, English, Chinese, Japanese, Korean, and Portuguese.
Provides a visual legend to categorize servers by language (Python, TypeScript, Go, etc.) and scope (Cloud, Local, Embedded).
Getting started
Browse the README or visit the Awesome MCP Servers web directory. The setup is straightforward because the project is a curated list and web directory that users can read directly.
Evidence and sources
README: A curated list of awesome Model Context Protocol (MCP) servers.
README: This list focuses on production-ready and experimental MCP servers that extend AI capabilities through file access, database connections, API integrations, and other contextual se…
README: Checkout [awesome-mcp-clients](https://github.com/punkpeye/awesome-mcp-clients/) and [glama.ai/mcp/clients](https://glama.ai/mcp/clients).
README: Confused about Local 🏠 vs Cloud ☁️? > * Use local when MCP server is talking to a locally installed software, e.g. taking control over Chrome browser. > * Use cloud when MCP serve…