Awesome-MCP and awesome-mcp-enterprise

These are ecosystem siblings — both are independently maintained curated lists of MCP resources that serve different audiences (general developers vs. enterprise-focused users) rather than competing for the same use case or depending on each other.

Awesome-MCP
57
Established
Maintenance 10/25
Adoption 10/25
Maturity 16/25
Community 21/25
Maintenance 10/25
Adoption 9/25
Maturity 7/25
Community 21/25
Stars: 136
Forks: 35
Downloads:
Commits (30d): 0
Language:
License: CC0-1.0
Stars: 103
Forks: 33
Downloads:
Commits (30d): 0
Language:
License:
No Package No Dependents
No License No Package No Dependents

About Awesome-MCP

AlexMili/Awesome-MCP

Awesome ModelContextProtocol resources - A curated list of MCP resources

This is a curated collection of resources for the Model Context Protocol (MCP), a new standard that allows large language model (LLM) applications to connect with various external data sources and tools. It provides links to different server implementations, clients, SDKs, and other tools that integrate with services like GitHub, Google Drive, PostgreSQL, Slack, and even specialized platforms like ZenML or Coupang. This resource is for developers, MLOps engineers, or anyone building or extending LLM applications to interact with real-world systems and data.

LLM-integration developer-tools MLOps-engineering API-integration AI-application-development

About awesome-mcp-enterprise

bh-rat/awesome-mcp-enterprise

A curated list of awesome MCP (Model Context Protocol) tools, platforms, and services for enterprises.

This list helps enterprise technical stakeholders discover and evaluate infrastructure solutions for implementing the Model Context Protocol (MCP). It features tools, platforms, and services for building, hosting, running, and securing MCP servers, which standardize how applications provide context to large language models. The intended user is a technical decision-maker like an architect or DevOps engineer exploring enterprise-grade MCP deployments.

enterprise-ai llm-ops api-management cloud-infrastructure data-governance

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