Awesome-MCP and awesome-mcp-servers

These are ecosystem siblings that serve complementary discovery functions—one catalogs general MCP resources across the ecosystem while the other specializes in curating production-ready MCP server implementations specifically.

Awesome-MCP
60
Established
awesome-mcp-servers
42
Emerging
Maintenance 13/25
Adoption 10/25
Maturity 16/25
Community 21/25
Maintenance 2/25
Adoption 10/25
Maturity 8/25
Community 22/25
Stars: 136
Forks: 35
Downloads:
Commits (30d): 0
Language:
License: CC0-1.0
Stars: 5,232
Forks: 745
Downloads:
Commits (30d): 0
Language:
License:
No Package No Dependents
No License Stale 6m 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

appcypher/awesome-mcp-servers

Awesome MCP Servers - A curated list of Model Context Protocol servers

Covers 30+ MCP server categories spanning file systems, databases, APIs, cloud platforms, and development tools—enabling AI models to access specialized contexts beyond language understanding. Integrates with Claude Desktop, VS Code, Zed, Cursor, and other AI-powered editors through standardized stdio-based server implementations. Includes security guidance for sandboxing, permission isolation, and code review best practices to mitigate risks from arbitrary code execution.

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