mcp-server-aws

# 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/download). 5. Try asking Claude to do a read/write operation of some sort to confirm the setup (e.g. create an S3 bucket and give it a random name). If there are issues, use the Debugging tools provided in the MCP documentation [here](https://modelcontextprotocol.io/docs/tools/debugging). ## Available Tools ### S3 Operations - **s3_bucket_create**: Create a new S3 bucket - **s3_bucket_list**: List all S3 buckets - **s3_bucket_delete**: Delete an S3 bucket - **s3_object_upload**: Upload an object to S3 - **s3_object_delete**: Delete an object from S3 - **s3_object_list**: List objects in an S3 bucket - **s3_object_read**: Read an object's content from S3 ### DynamoDB Operations #### Table Operations - **dynamodb_table_create**: Create a new DynamoDB table - **dynamodb_table_describe**: Get details about a DynamoDB table - **dynamodb_table_delete**: Delete a DynamoDB table - **dynamodb_table_update**: Update a DynamoDB table #### Item Operations - **dynamodb_item_put**: Put an item into a DynamoDB table - **dynamodb_item_get**: Get an item from a DynamoDB table - **dynamodb_item_update**: Update an item in a DynamoDB table - **dynamodb_item_delete**: Delete an item from a DynamoDB table - **dynamodb_item_query**: Query items in a DynamoDB table - **dynamodb_item_scan**: Scan items in a DynamoDB table #### Batch Operations - **dynamodb_batch_get**: Batch get multiple items from DynamoDB tables - **dynamodb_item_batch_write**: Batch write operations (put/delete) for DynamoDB items - **dynamodb_batch_execute**: Execute multiple PartiQL statements in a batch #### TTL Operations - **dynamodb_describe_ttl**: Get the TTL settings for a table - **dynamodb_update_ttl**: Update the TTL settings for a table