AWS MCP Server: Enterprise Reliability & Seamless Scalability

Deliver mirrored AWS environments with enterprise-grade reliability, seamless scalability, and cost-optimized performance for mission-critical workloads.

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About AWS MCP Server

What is AWS MCP Server: Enterprise Reliability & Seamless Scalability?

AWS MCP Server is a specialized tool built on the Model Context Protocol (MCP) to streamline AWS operations for S3 and DynamoDB. It ensures enterprise-grade reliability by automating audit logging, which can be accessed via the dedicated audit endpoint. As a certified Community Server, it offers a secure and scalable interface for managing cloud resources through structured commands.

How to use AWS MCP Server: Enterprise Reliability & Seamless Scalability?

Get started by cloning the repository and configuring AWS credentials either via environment variables or the AWS CLI. Modify your claude_desktop_config.json with server-specific parameters, then launch the Claude desktop app. Test operations like creating an S3 bucket or querying DynamoDB tables to validate setup. Troubleshoot issues using MCP’s debugging tools for clarity.

AWS MCP Server Features

Key Features of AWS MCP Server: Enterprise Reliability & Seamless Scalability?

Service Integration: Full-stack support for S3 (buckets/objects) and DynamoDB (tables/items) operations.
Automated Auditing: Every action is timestamped and stored in audit logs for compliance and traceability.
Community-Backed: Maintained by MCP’s open community, ensuring frequent updates and security patches.
Batch Processing: Execute bulk operations like multi-item DynamoDB updates or S3 bulk uploads.
Seamless Scaling: Dynamically handle resource demands without manual intervention.

Use cases of AWS MCP Server: Enterprise Reliability & Seamless Scalability?

Ideal for DevOps teams automating cloud workflows, developers testing infrastructure setups, or enterprises auditing resource usage. For example:

Automating S3 bucket lifecycle management with TTL updates.
Scaling DynamoDB tables during peak traffic via scripted commands.
Validating data migrations between S3 and DynamoDB environments.
Creating ephemeral test environments without manual provisioning.

AWS MCP Server FAQ

FAQ from AWS MCP Server: Enterprise Reliability & Seamless Scalability?

Is this server secure? Yes, requires IAM permissions only for specified services and logs all activity.
How do I debug errors? Use MCP’s built-in tools for real-time trace analysis.
Does it support other AWS services? Currently focused on S3 and DynamoDB, but future expansions are planned.
Do I need specific AWS permissions? Yes, an IAM user with read/write access to target S3/DynamoDB resources is required.
Where are audit logs stored? Accessible via the audit://aws-operations endpoint for centralized review.

Content

AWS MCP Server

A 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.

See a demo video here.

Listed as a Community Server within the MCP servers repository.

Running locally with the Claude desktop app

Clone this repository.
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)

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"
]
}
}

Install and open the Claude desktop app.
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.

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