A collection of MCP servers. Contribute to punkpeye/awesome-mcp-servers development by creating an account on GitHub.
Extensive MCP Server List
Access a diverse range of servers for various applications from art to data platforms.
Standardized Protocol
Utilize an open protocol that allows secure interactions between AI models and resources.
Community Contributions
Benefit from a collaborative environment where users can contribute and enhance the repository.
Multi-Platform Support
Use servers compatible with multiple programming languages and operating systems.
Awesome MCP Servers is a comprehensive repository that provides a curated list of Model Context Protocol (MCP) servers, aimed at expanding the capabilities of AI systems. It serves as a valuable resource for developers and researchers looking to implement or explore various MCP servers that enable AI models to interact with databases, APIs, and other contextual services securely. The repository includes both production-ready solutions and experimental implementations, catering to a wide range of use cases.
The repository features contributions in multiple programming languages including Python, TypeScript, Go, Rust, C#, and Java. It also covers various server types such as local services, cloud services, and embedded systems, making it versatile for different development environments.
Integrating AI models with local software applications.
Automating web content access and data extraction.
Exploring art and cultural heritage collections through AI.
MCP stands for Model Context Protocol, an open protocol that allows AI models to securely interact with local and remote resources.
You can contribute by creating a GitHub account and submitting pull requests to add or improve server listings.
Yes, the servers listed are open source and free to use under the MIT license.
