Awesome MCP Servers

What is Awesome MCP Servers?

Awesome MCP Servers is a curated list of Model Context Protocol (MCP) servers, an open protocol that allows AI models to securely engage with local and remote resources. It focuses on production quality and experimental servers that expand AI capabilities through access to files, databases, APIs, and other context services.

How to use Awesome MCP Servers?

Browse the categorized sections (e.g., Browser Automation, Databases, Cloud Platforms) to find MCP servers relevant to your needs. Each entry includes a link to the repository, a legend indicating language, scope (local or cloud), and operating system.

Key features of Awesome MCP Servers

• Curated collection of MCP servers across multiple domains
• Categorized by functionality (browser, databases, cloud, etc.)
• Legends for programming language, scope, and operating system
• Includes both official and community implementations
• Links to tutorials and client resources

Use cases of Awesome MCP Servers

• Find a browser automation MCP server for web scraping
• Locate an MCP server to query a specific database
• Discover cloud platform MCP servers for AWS, Kubernetes, etc.
• Identify communication integration servers (Slack, iMessage)

FAQ from Awesome MCP Servers

What is MCP?

MCP (Model Context Protocol) is an open protocol that allows AI models to engage securely with local and remote resources using standardized server implementations.

How are the servers categorized?

Servers are grouped by domain (e.g., Browser Automation, Databases, Cloud Platforms) with icons indicating scope: local (talking to locally installed software) or cloud (talking to remote APIs).

Does this list include official implementations?

Yes, entries marked with a 🎖️ badge are official implementations. The list also includes community-built servers.

Where can I find MCP clients?

The README references a separate list: awesome-mcp-clients on GitHub.

How can I contribute to the list?

The README is an Awesome list; typically you can submit a pull request or issue to add new servers, but no specific contribution instructions are included.