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Amazon ECS MCP Server

AI-powered Amazon ECS workload management

RUN IN TERMINAL
claude mcp add awsapius-east-1ecs-mcp-server -- uvx mcp-proxy-for-aws
ADD TO claude_desktop_config.json
{ "mcpServers": { "awsapius-east-1ecs-mcp-server": { "command": "uvx", "args": ["mcp-proxy-for-aws"] } } }
ADD TO .vscode/mcp.json
{ "mcpServers": { "awsapius-east-1ecs-mcp-server": { "command": "uvx", "args": ["mcp-proxy-for-aws"] } } }
ADD TO .cursor/mcp.json
{ "mcpServers": { "awsapius-east-1ecs-mcp-server": { "command": "uvx", "args": ["mcp-proxy-for-aws"] } } }

About This MCP Server

The aws.api.us-east-1.ecs-mcp/server is a cloud-based server that enables AI-powered management of Amazon ECS workloads, connecting to Amazon Web Services to facilitate efficient container orchestration, and can be utilized by developers when they need to streamline and optimize their containerized applications on AWS. This server is accessible via the mcp-proxy-for-aws package and supports standard input/output operations. Developers can leverage this server to enhance their workflow on AWS, particularly when working with Python packages available on PyPI.

AI-powered Amazon ECS workload management. 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 Amazon ECS MCP Server server extends your AI assistant with cloud & infrastructure capabilities. Once installed, your AI can use its tools automatically.

DETAILS
README BADGE
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