Awesome-MCP and Awesome-MCP-Servers

The two tools are complements because Awesome-MCP is a general curated list of resources for ModelContextProtocol, while Awesome-MCP-Servers is a specialized curated list specifically for servers within that same protocol, making the latter a useful sub-resource within the broader context of the former.

Awesome-MCP
60
Established
Awesome-MCP-Servers
56
Established
Maintenance 13/25
Adoption 10/25
Maturity 16/25
Community 21/25
Maintenance 17/25
Adoption 10/25
Maturity 13/25
Community 16/25
Stars: 136
Forks: 35
Downloads:
Commits (30d): 0
Language:
License: CC0-1.0
Stars: 1,029
Forks: 68
Downloads:
Commits (30d): 8
Language:
License: Apache-2.0
No Package No Dependents
No Package No Dependents

About Awesome-MCP

AlexMili/Awesome-MCP

Awesome ModelContextProtocol resources - A curated list of MCP resources

The repository indexes both official Anthropic MCP servers and community implementations across multiple languages (TypeScript, Python, and others), spanning diverse integrations from databases and cloud platforms to browser automation and specialized tools. It organizes resources into servers, clients, SDKs, and tooling, enabling developers to discover MCP implementations for external data sources—from file systems and Git repositories to APIs like Slack, GitHub, and AWS. This comprehensive ecosystem index facilitates building LLM applications with protocol-standardized access to third-party services and data.

About Awesome-MCP-Servers

YuzeHao2023/Awesome-MCP-Servers

A curated list of Model Context Protocol (MCP) servers

Organizes 6,000+ MCP server implementations across 30+ functional categories (databases, cloud platforms, APIs, automation tools) with security guidance and multi-language documentation. The collection spans both official vendor implementations and community-contributed servers, enabling AI clients like Claude Desktop and Cursor to access standardized integrations for file systems, databases, APIs, and external services. Includes reference implementations, management tools, and security best practices for sandboxing MCP servers to mitigate code execution and data exposure risks.

Scores updated daily from GitHub, PyPI, and npm data. How scores work