Sample MCP Servers for AWS GCR
by AWS GCR
This repository provides sample MCP (Managed Cloud Platform) servers for use with AWS GCR (Generative AI Cloud Resources). It includes various server implementations demonstrating different functionalities and use cases.
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What is Sample MCP Servers for AWS GCR?
This repository contains a collection of sample MCP servers designed to work with AWS GCR. These servers provide different functionalities, such as remote computer use, Dify workflow integration, Deepseek planning, time synchronization, and HTML rendering.
How to use Sample MCP Servers for AWS GCR?
Each server has its own README file with specific instructions on how to deploy and use it. Refer to the individual server's documentation for detailed usage information. The repository also includes links to community-contributed MCP servers.
Key features of Sample MCP Servers for AWS GCR
Variety of MCP server implementations
Integration with AWS services, including Bedrock
Examples for different use cases
Community contributions
Use cases of Sample MCP Servers for AWS GCR
Remote computer access
Dify workflow automation
AI planning and coding with Deepseek
Time synchronization for agents
HTML rendering from Markdown or HTML
FAQ from Sample MCP Servers for AWS GCR
What is an MCP server?
What is an MCP server?
MCP stands for Managed Cloud Platform. In this context, it refers to servers that provide specific functionalities within the AWS GCR environment.
How do I deploy these servers?
How do I deploy these servers?
Refer to the individual README files for each server for detailed deployment instructions.
Are these servers production-ready?
Are these servers production-ready?
These are sample servers and may require modifications for production use.
What AWS services are required?
What AWS services are required?
The required AWS services depend on the specific server. Some servers may require Bedrock, while others may use other AWS services.
Where can I find more information about AWS GCR?
Where can I find more information about AWS GCR?
Refer to the AWS documentation for more information about AWS GCR.