AWS MCP Server

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About AWS MCP Server

No overview available yet

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "aws-sa-tools-mcp-server": {
      "command": "uv",
      "args": [
        "sync"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is AWS MCP Server?

AWS MCP Server is a Model Context Protocol (MCP) server that provides tools to interact with AWS services through Claude Desktop. It offers built-in support for S3, EC2, RDS, Cost Explorer, CloudWatch, a generic AWS SDK wrapper, and optional vector store capabilities.

How to use AWS MCP Server?

Install the package with pip install aws-mcp-server, then configure Claude Desktop by adding "aws-mcp-server": { "command": "aws-mcp-server" } to claude_desktop_config.json. AWS credentials must be configured via aws configure or by editing ~/.aws/credentials.

Key features of AWS MCP Server

S3: List buckets and 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

Use cases of AWS MCP Server

Query AWS resources (S3 buckets, EC2 instances, RDS databases) using natural language in Claude Desktop
Retrieve AWS cost and usage reports without leaving the chat interface
Fetch CloudWatch metric statistics interactively
Perform arbitrary AWS SDK operations through the generic wrapper

FAQ from AWS MCP Server

What dependencies does AWS MCP Server require?

Python 3.12+ and configured AWS credentials (e.g., via ~/.aws/credentials). Claude Desktop is needed to run the MCP server.

How are AWS credentials handled?

AWS credentials must be configured before use, either by running aws configure or by manually editing ~/.aws/credentials with access key, secret key, and region.

Can I access AWS services not listed in the feature list?

Yes, the aws_sdk_wrapper tool allows calling any AWS SDK operation directly.

Is the vector store enabled by default?

No, it is optional. Set the environment variable ENABLE_VECTOR_STORE=true to activate document ingestion and search.

How do I run AWS MCP Server in a development environment?

Clone the repository, run uv sync to install dependencies, then execute uvx . to start the server locally.

Frequently asked questions

What dependencies does AWS MCP Server require?

Python 3.12+ and configured AWS credentials (e.g., via `~/.aws/credentials`). Claude Desktop is needed to run the MCP server.

How are AWS credentials handled?

AWS credentials must be configured before use, either by running `aws configure` or by manually editing `~/.aws/credentials` with access key, secret key, and region.

Can I access AWS services not listed in the feature list?

Yes, the `aws_sdk_wrapper` tool allows calling any AWS SDK operation directly.

Is the vector store enabled by default?

No, it is optional. Set the environment variable `ENABLE_VECTOR_STORE=true` to activate document ingestion and search.

How do I run AWS MCP Server in a development environment?

Clone the repository, run `uv sync` to install dependencies, then execute `uvx .` to start the server locally.

Comments

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