awesome-mcp-servers and awesome-mcp-enterprise
These are ecosystem siblings—both are curated registries that index and categorize MCP servers and tools within the same ecosystem, with B focusing specifically on enterprise-oriented implementations while A aims for comprehensive coverage across all use cases.
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-enterprise
bh-rat/awesome-mcp-enterprise
A curated list of awesome MCP (Model Context Protocol) tools, platforms, and services for enterprises.
The collection focuses on **infrastructure and platform components** (registries, gateways, security layers, deployment tools) rather than individual MCP server implementations, organizing 100+ solutions across categories like private registries with built-in auth/governance, enterprise gateways with policy enforcement and SIEM integration, and deployment frameworks. It targets technical stakeholders building agentic systems, including infrastructure architects evaluating containerized deployment options (Docker), security teams assessing threat detection and compliance tools (SOC 2, HIPAA), and organizations standardizing MCP adoption through registries and access control. The curation explicitly scopes out MCP servers and agent frameworks, making it a meta-resource for the operational and governance layer around MCP ecosystems rather than the protocol implementations themselves.
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