AWS Resources MCP Server

@MCP-Mirror

Repository

Basic information

About AWS Resources MCP Server

Mirror of

#aws #mcp-server #python#boto3

AWS Resources MCP Server config

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

{
  "mcpServers": {
    "baryhuang_mcp-server-aws-resources-python": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli",
        "install",
        "mcp-server-aws-resources-python",
        "--client",
        "claude"
      ]
    }
  }
}

AWS Resources MCP Server tools

Execute a boto3 code snippet to query AWS resources

Overview

What is AWS Resources MCP Server?

A Model Context Protocol server that runs generated Python code to query any AWS resources through boto3. It is intended for users who want to interact with AWS services via natural language through an MCP client like Claude Desktop.

How to use AWS Resources MCP Server?

Install via Smithery (npx -y @smithery/cli install ...) or pull the Docker image from Docker Hub. Configure AWS credentials using environment variables (AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, AWS_DEFAULT_REGION, optional AWS_SESSION_TOKEN) or by mounting a local ~/.aws credentials file and setting AWS_PROFILE. Invoke the query_aws_resources tool with a code_snippet string containing boto3 code that sets a result variable.

Key features of AWS Resources MCP Server

Runs from a Docker image – no git clone required
Uses Python and boto3 for all AWS resource queries
Supports Linux/amd64, Linux/arm64, and Linux/arm/v7 platforms
Sandboxes code execution with a restricted set of allowed imports and built-ins
Accepts both access key and profile-based AWS authentication

Use cases of AWS Resources MCP Server

Query AWS resources (e.g., S3 buckets, CodePipeline deployments) through natural language
Debug and fix AWS configuration issues, such as DynamoDB permission errors
Retrieve operational data from AWS using generated boto3 code

Frequently asked questions

What AWS credentials are required?

`AWS_ACCESS_KEY_ID`, `AWS_SECRET_ACCESS_KEY`, optionally `AWS_SESSION_TOKEN`, and `AWS_DEFAULT_REGION`. Alternatively, you can use a profile stored in `~/.aws/credentials` by setting the `AWS_PROFILE` environment variable.

Is the server limited to read-only operations?

No. The author did not restrict operations to ReadOnly, so your IAM user role dictates what operations you can perform.

How do I run the server?

You can either pull and run the Docker image (`docker pull buryhuang/mcp-server-aws-resources:latest`) or clone the repository and run it locally with `uv`. For Claude Desktop, configure the MCP server with a Docker command and pass in the required environment variables.

What imports are allowed in the code snippet?

Only these imports are permitted: `boto3`, `operator`, `json`, `datetime`, and `pytz`. A set of built-in functions (e.g., `len`, `max`, `sorted`, `dict`) is also available.

Where does the executed code run?

The code runs inside a Docker container, which provides sandboxing and keeps execution environment clean and isolated.

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