MCP Servers

AWS MCP Server

Enables Claude to interact with core AWS services like S3, EC2, RDS, and CloudWatch, along with a generic SDK wrapper for any AWS operation. It also supports cost monitoring and optional vector store capabilities for document ingestion and search.

Category

README

AWS MCP Server

A Model Context Protocol (MCP) server that provides tools to interact with AWS services through Claude Desktop.

Features

S3: List buckets, list objects
EC2: Describe instances, security groups, VPCs
RDS: Describe database instances
Cost Explorer: Get cost and usage reports
CloudWatch: Retrieve metric statistics
Generic AWS SDK: Access any AWS operation via aws_sdk_wrapper
Vector Store: Optional document ingestion and search capabilities

Quick Start

Prerequisites

Python 3.12+
AWS credentials configured (~/.aws/credentials)
Claude Desktop installed

Installation

Install the package:
```
pip install aws-mcp-server
```

Configure Claude Desktop: Add to your claude_desktop_config.json:

{
    "mcpServers": {
        "aws-mcp-server": {
            "command": "aws-mcp-server"
        }
    }
}

Configure AWS credentials:

aws configure
# OR manually edit ~/.aws/credentials:

[default]
aws_access_key_id = YOUR_ACCESS_KEY
aws_secret_access_key = YOUR_SECRET_KEY
region = us-east-1

Development

Local Development Setup

# Clone and install
git clone <repository-url>
cd aws-mcp-server
uv sync

# Run locally
uvx .

Configuration Options

Set environment variables for customization:

export AWS_MCP_PORT=8888
export AWS_MCP_DEBUG=true
export ENABLE_VECTOR_STORE=true

Documentation

Deployment Guide - Production deployment with AWS App Runner
Vector Store Guide - Document ingestion and search setup
Workflow Guide - Development workflows and patterns

License

MIT License - see LICENSE file for details.

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