awslabs/mcp
by awslabs · awslabs/mcp
Install
See GitHub repository for installation instructions.
How to use awslabs/mcp with Claude
awslabs/mcp is a Model Context Protocol (MCP) server that gives Claude and other AI agents direct access to cloud & infra capabilities. Once installed, you can use it in Claude Desktop, Cursor, VS Code with GitHub Copilot, or any MCP-compatible client.
MCP servers in the Cloud & Infra category let AI agents interact directly with cloud & infra systems — no custom API integration required. awslabs/mcp is built in Python. See the GitHub repository for full documentation and configuration options.
Setup
- Clone or install from the GitHub repository
- Follow the README for environment setup and credentials
- Add the server to your MCP client config (claude_desktop_config.json or .cursor/mcp.json)
- Restart your client — awslabs/mcp will appear in the available tools list
About awslabs/mcp
awslabs/mcp is an open-source MCP server in the Cloud & Infra category, built in Python. It connects Claude and other MCP-compatible clients to cloud & infra systems directly. Source available on GitHub.
Use cases for Cloud & Infra MCP servers
- →Query cloud resource state and metrics in real time
- →Automate infrastructure changes with AI-assisted validation
- →Debug deployment failures by pulling logs and config diffs
- →Monitor costs and trigger alerts on anomalies
Where awslabs/mcp fits in an MCP workflow
Teams use awslabs/mcp to give Claude a direct bridge into cloud & infra workflows, so routine actions happen inside the AI client instead of across separate tabs and dashboards.
awslabs/mcp can be connected to MCP clients by following the repository setup instructions, making it useful for teams that want AI access to cloud & infra systems.
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