AWS MCP Servers
by awslabs
AWS MCP Servers are a suite of specialized servers designed to enhance the capabilities of the Model Context Protocol (MCP) within the AWS ecosystem. These servers provide AI applications with access to AWS documentation, contextual guidance, and best practices.
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What is AWS MCP Servers?
AWS MCP Servers are a collection of specialized servers that leverage the Model Context Protocol (MCP) to integrate AWS services and resources with Large Language Models (LLMs) and AI applications. They provide a standardized way for AI applications to access AWS documentation, best practices, and other contextual information.
How to use AWS MCP Servers?
To use AWS MCP Servers, you typically need to install the desired server using uvx, configure AWS credentials, and then add the server to your MCP client configuration. Each server has specific installation instructions and configuration options detailed in its respective README. You can then interact with the server through an MCP client, allowing AI applications to leverage its capabilities.
Key features of AWS MCP Servers
Integration with AWS services
Access to AWS documentation and best practices
Standardized MCP client-server architecture
Enhanced cloud-native development workflows
Support for various AWS services like Bedrock, CDK, Lambda, and more
Use cases of AWS MCP Servers
AI-assisted code generation for AWS services
Automated infrastructure-as-code creation using AWS CDK
Natural language querying of AWS cost data
Accessing and running AWS Lambda functions as tools for LLMs
Retrieving and utilizing information from Amazon Bedrock Knowledge Bases
FAQ from AWS MCP Servers
What is the Model Context Protocol (MCP)?
What is the Model Context Protocol (MCP)?
The Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools.
How do AWS MCP Servers use MCP?
How do AWS MCP Servers use MCP?
AWS MCP Servers use the MCP protocol to provide AI applications access to AWS documentation, contextual guidance, and best practices.
What are some examples of AWS MCP Servers?
What are some examples of AWS MCP Servers?
Examples include the Core MCP Server, AWS Documentation MCP Server, Amazon Bedrock Knowledge Bases Retrieval MCP Server, AWS CDK MCP Server, Cost Analysis MCP Server, Amazon Nova Canvas MCP Server, AWS Diagram MCP Server, and AWS Lambda MCP Server.
How do I install and configure an AWS MCP Server?
How do I install and configure an AWS MCP Server?
Generally, you can install uv, install Python using uv python install 3.10, configure AWS credentials, and add the server to your MCP client configuration. See individual server READMEs for specific requirements and configuration options.
Where can I find documentation for AWS MCP Servers?
Where can I find documentation for AWS MCP Servers?
Comprehensive documentation for all servers is available on the documentation website: https://awslabs.github.io/mcp/.