claude mcp add aws-mcp-proxy-for-aws -- uvx mcp-proxy-for-aws
{
"mcpServers": {
"aws-mcp-proxy-for-aws": {
"command": "uvx",
"args": ["mcp-proxy-for-aws"]
}
}
}
{
"mcpServers": {
"aws-mcp-proxy-for-aws": {
"command": "uvx",
"args": ["mcp-proxy-for-aws"]
}
}
}
{
"mcpServers": {
"aws-mcp-proxy-for-aws": {
"command": "uvx",
"args": ["mcp-proxy-for-aws"]
}
}
}
About This MCP Server
The io.github.aws/mcp-proxy-for-aws server enables AI coding assistants to securely access Amazon Web Services using documentation, API calls, and standard operating procedure workflows. This server connects to AWS, allowing developers to leverage AI assistance for tasks such as coding and workflow automation. A developer would use this server when they need to integrate AI coding tools with their AWS environment, providing a secure and standardized way to access AWS resources.
AWS MCP Server lets AI securely access AWS using docs, API calls, and SOP workflows.. This is a Model Context Protocol (MCP) server that extends AI assistants like Claude with cloud & infrastructure capabilities via the stdio transport.
Package
mcp-proxy-for-aws on pypi
HOW TO USE
Select your AI client above to get the install command. This MCP server uses the stdio transport and is available on pypi.
What tools does it provide?
The AWS MCP Server server extends your AI assistant with cloud & infrastructure capabilities. Once installed, your AI can use its tools automatically.
