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
57
Established
Awesome-MCP-Servers
56
Established
Maintenance 10/25
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): 7
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

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-Servers

YuzeHao2023/Awesome-MCP-Servers

A curated list of Model Context Protocol (MCP) servers

This is a curated list of Model Context Protocol (MCP) servers, tools, and clients. It helps AI models securely interact with local and remote resources like databases, file systems, and various cloud services. AI developers and system integrators can use this list to discover and implement MCP servers for their AI applications.

AI-integration data-access cloud-services workflow-automation secure-computing

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