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AWS S3 AccessTool MCP Server

@abdullahsayyad

代码仓库

基本信息

分类

文件与存储

许可证

MIT

传输方式

stdio

作者

abdullahsayyad

提交者

abdullahsayyad

关于 AWS S3 AccessTool MCP Server

A tool written in complete python following the MCP(model context protocol). LLM can leverage this tool to work with aws S3 buckets

#aws-s3#s3-access-tool#cloud-storage

AWS S3 AccessTool MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "AWS-S3-AccessTool": {
      "command": "python",
      "args": [
        "C:your-absolute-path-to-the-file\\main.py"
      ]
    }
  }
}

AWS S3 AccessTool MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is AWS S3 AccessTool?

AWS S3 AccessTool is an MCP server utility that enables LLMs to interact with AWS S3 storage. It can list available buckets, retrieve stored objects, filter for CSV files, and read CSV content, with built-in async support via aioboto3. Developers can integrate it locally or via Docker, and it supports environment-based bucket selection.

How to use AWS S3 AccessTool?

Install dependencies: pip install aioboto3 mcp[cli] python-dotenv. Set environment variables AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, AWS_REGION, and optionally S3_BUCKETS to restrict access. Then configure your MCP client (e.g., Cursor.ai) with the command python and the absolute path to main.py.

Key features of AWS S3 AccessTool

  • List available S3 buckets
  • Fetch objects from specific or all buckets
  • Filter and retrieve only CSV files
  • Read the content of a CSV file from S3

Use cases of AWS S3 AccessTool

  • Automate listing of all S3 buckets in an account
  • Retrieve specific objects from one or multiple buckets
  • Filter and download CSV files for data analysis
  • Integrate CSV content reading into LLM workflows

常见问题

1

What are the runtime dependencies?

Python 3.8 or later, plus packages `aioboto3`, `mcp[cli]`, and `python-dotenv`.

2

How do I restrict access to specific buckets?

Set the `S3_BUCKETS` environment variable to a comma-separated list of bucket names (e.g., `bucket1,bucket2`). Only those buckets will be accessible.

3

How do I configure this tool for Cursor.ai?

Use the following JSON in your MCP configuration: `{ "mcpServers": { "AWS-S3-AccessTool": { "command": "python", "args": ["C:\\your-absolute-path-to-the-file\\main.py"] } } }`

4

What license is the project under?

It is open-source under the MIT License.

5

Does the tool support Docker deployment?

Yes, the README mentions integration via Docker, but no specific Docker instructions are provided.

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