awesome-mcp-servers
A curated list of Model Context Protocol (MCP) servers, frameworks, and resources. It helps developers discover production-ready and experimental MCP servers that extend AI capabilities with file access, database connections, API integrations, and more. Ideal for developers building AI applications with MCP.
✨ Key features
- Curated list of MCP servers and frameworks
- Categorized by domain (databases, cloud, etc.)
- Legend for language, scope, and OS
- Links to tutorials and community resources
- Web-based directory synced with repository
🎯 Use cases
- Find MCP servers for database access
- Discover servers for browser automation
- Locate official implementations for cloud services
- Explore frameworks for building custom MCP servers
⚠️ Good to know
The list is community-curated and may not be exhaustive; some servers are experimental.
❓ FAQ
What is MCP?
MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized server implementations.
How are servers categorized?
Servers are categorized by domain (e.g., Databases, Cloud Platforms) and tagged with language, scope (local/cloud), and OS.
Is there a web-based directory?
Yes, there is a web-based directory at glama.ai/mcp/servers that is synced with the repository.
How can I contribute?
The README does not specify contribution guidelines, but it is a GitHub repository so you can likely submit a pull request.
📊 Repository
🤖 Overview, features, install steps and FAQ were generated from the project's README on Sep 4, 2026. Always check the original source before running commands.