โจ Awesome Model Context Protocol (MCP) Servers
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About โจ Awesome Model Context Protocol (MCP) Servers
๐งฉ Curated list of Model Context Protocol (MCP) servers that extend AI with real-world context: files, APIs, databases, and more.
Basic information
Config
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Overview
What is Awesome Model Context Protocol (MCP) Servers?
It is a curated list of MCP servers, frameworks, tools, and resources. It helps users discover production-ready and experimental servers that extend AI model capabilities via the Model Context Protocol. The list is organized by categories and includes a legend for programming language, scope (local/cloud), and operating system.
How to use Awesome Model Context Protocol (MCP) Servers?
Browse the list by category (e.g., Aggregators, Browser Automation, Databases). Use the legend to filter servers by language (Python, TypeScript, Go, Rust, etc.), scope (Cloud or Local), and OS (macOS, Windows, Linux). Click the GitHub links to access each serverโs repository. A searchable web directory is also available at glama.ai/mcp/servers.
Key features of Awesome Model Context Protocol (MCP) Servers
- Curated by community with detailed category structure.
- Legend identifies language, cloud/local scope, and OS support.
- Includes tutorials, community links (Reddit, Discord), and client lists.
- Offers a web directory for searchable browsing.
- Covers diverse domains: art, finance, security, video editing, etc.
Use cases of Awesome Model Context Protocol (MCP) Servers
- Finding a server to automate local Chrome or cloud browser interactions.
- Discovering servers for database queries, file access, or API calls.
- Locating servers for cloud platform management (AWS, Azure, Kubernetes).
- Accessing art collections, Quran data, or historical records via MCP.
- Selecting servers for code execution, monitoring, or translation tasks.
FAQ from Awesome Model Context Protocol (MCP) Servers
What is MCP?
MCP (Model Context Protocol) is an open protocol that enables AI models to securely interact with local and remote resources via standardized server implementations.
How are servers categorized?
Servers are grouped into categories like Aggregators, Art & Culture, Browser Automation, Cloud Platforms, Databases, and many more.
Where can I find MCP clients?
Check the awesome-mcp-clients repository (github.com/punkpeye/awesome-mcp-clients) or glama.ai/mcp/clients.
What does the legend mean?
Each server is tagged with icon(s) for programming language (๐ต๐พ Python, ๐น๐ธ TypeScript, etc.), scope (๐ local, โ๏ธ cloud), and OS (๐ macOS, ๐ช Windows, ๐ง Linux). Example: ๐๏ธ๐๐ ๐ง means official, Python, local, Linux.
Is there a searchable directory?
Yes, a web directory is available at glama.ai/mcp/servers.
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