A Model Context Protocol server providing tools to read and manipulate AWS resources using an LLM
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# AWS MCP Server [](https://smithery.ai/server/mcp-server-aws) A [Model Context Protocol](https://www.anthropic.com/news/model-context-protocol) server implementation for AWS operations that currently supports S3 and DynamoDB services. All operations are automatically logged and can be accessed through the `audit://aws-operations` resource endpoint. <a href="https://glama.ai/mcp/servers/v69k6ch2gh"> <img width="380" height="200" src="https://glama.ai/mcp/servers/v69k6ch2gh/badge" alt="AWS Server MCP server" /> </a> See a demo video [here](https://www.loom.com/share/99551eeb2e514e7eaf29168c47f297d1?sid=4eb54324-5546-4f44-99a0-947f80b9365c). Listed as a [Community Server](https://github.com/modelcontextprotocol/servers?tab=readme-ov-file#-community-servers) within the MCP servers repository. ## Running locally with the Claude desktop app ### Installing via Smithery To install AWS MCP Server for Claude Desktop automatically via [Smithery](https://smithery.ai/server/mcp-server-aws): ```bash npx -y @smithery/cli install mcp-server-aws --client claude ``` ### Manual Installation 1. Clone this repository. 2. Set up your AWS credentials via one of the two methods below. Note that this server requires an IAM user with RW permissions for your AWS account for S3 and DynamoDB. - Environment variables: `AWS_ACCESS_KEY_ID`, `AWS_SECRET_ACCESS_KEY`, `AWS_REGION` (defaults to `us-east-1`) - Default AWS credential chain (set up via AWS CLI with `aws configure`) 3. Add the following to your `claude_desktop_config.json` file: - On MacOS: `~/Library/Application\ Support/Claude/claude_desktop_config.json` - On Windows: `%APPDATA%/Claude/claude_desktop_config.json` ``` "mcpServers": { "mcp-server-aws": { "command": "uv", "args": [ "--directory", "/path/to/repo/mcp-server-aws", "run", "mcp-server-aws" ] } } ``` 4. Install and open the [Claude desktop app](https://claude.ai/down…
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