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AWS S3 AccessTool MCP Server

@abdullahsayyad

Repository

Basic information

Category

Files & Storage

License

MIT

Transports

stdio

Author

abdullahsayyad

Submitted by

abdullahsayyad

About 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 config

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

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

AWS S3 AccessTool MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

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

Overview

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

Frequently asked questions

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.

Comments

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