claude mcp add aws-aws-mcp -- uvx mcp-proxy-for-aws
{
"mcpServers": {
"aws-aws-mcp": {
"command": "uvx",
"args": ["mcp-proxy-for-aws"]
}
}
}
{
"mcpServers": {
"aws-aws-mcp": {
"command": "uvx",
"args": ["mcp-proxy-for-aws"]
}
}
}
{
"mcpServers": {
"aws-aws-mcp": {
"command": "uvx",
"args": ["mcp-proxy-for-aws"]
}
}
}
About This MCP Server
The io.github.aws/aws-mcp server is a managed Model Context Protocol server that enables AI agents to interact with Amazon Web Services, allowing them to access documentation, make API calls, and execute standard operating procedure workflows. This server connects AI coding assistants to AWS resources, facilitating integration and automation. Developers would use this server to bridge the gap between AI-powered development tools and AWS services, streamlining their workflow and leveraging the capabilities of both.
A managed MCP server enabling AI agents to 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.
