awesome-mcp-servers and Awesome-MCP-Servers

These are ecosystem siblings—both are community-maintained registries that index and catalog the same underlying MCP server ecosystem, serving the same discovery function through parallel curation efforts rather than competing for users or complementing each other's capabilities.

awesome-mcp-servers
76
Verified
Awesome-MCP-Servers
56
Established
Maintenance 25/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 17/25
Adoption 10/25
Maturity 13/25
Community 16/25
Stars: 562
Forks: 156
Downloads:
Commits (30d): 150
Language:
License: MIT
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-servers

TensorBlock/awesome-mcp-servers

A comprehensive collection of Model Context Protocol (MCP) servers

Curates over 7,260 MCP servers across 33 categories—from AI integration and databases to browser automation and hardware—enabling developers to discover standardized tools for connecting Claude and other AI models to external systems. The collection uses a community-driven contribution model where servers are organized by use case and vetted for public accessibility, making it a discovery layer for the MCP ecosystem. Servers communicate via stdio transport and connect AI assistants to APIs, filesystems, cloud platforms, and developer tools through a universal protocol interface.

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.

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