AWS Resources MCP Server

Name: AWS Resources MCP Server
Author: MCP-Mirror

@MCP-Mirror

代码仓库

关于 AWS Resources MCP Server

Mirror of

#aws #mcp-server #python #boto3

基本信息

分类

云与基础设施

许可证

MIT license

运行时

python

传输方式

stdio

发布者

MCP-Mirror

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

工具

Execute a boto3 code snippet to query AWS resources

概览

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

FAQ from AWS Resources MCP Server

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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