MCP.so
登录

AWS S3 AccessTool

@abdullahsayyad

代码仓库

关于 AWS S3 AccessTool

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

基本信息

分类

文件与存储

许可证

MIT

运行时

python

传输方式

stdio

发布者

abdullahsayyad

提交者

abdullahsayyad

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"
      ]
    }
  }
}

工具

未检测到工具

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

FAQ from AWS S3 AccessTool

What are the runtime dependencies?

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

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.

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"] } } }

What license is the project under?

It is open-source under the MIT License.

Does the tool support Docker deployment?

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

评论

文件与存储 分类下的更多 MCP 服务器

Storacha MCP Storage Server

storacha

Storacha MCP storage server - self-sovereign data for your AI applications.

13

Bulk Filesystem Operations MCP Server

strawgate

MCP Server for reading many files at the same time

25

File Context Server

bsmi021

A Model Context Protocol (MCP) server that provides file system context to Large Language Models (LLMs). This server enables LLMs to read, search, and analyze code files with advanced caching and real-time file watching capabilities.

37

Rust MCP Filesystem

rust-mcp-stack

Blazing-fast, asynchronous MCP server for seamless filesystem operations.

163

S3 MCP Server

samuraikun

MCP server to integrate AWS S3 and LLM

26