MCP MCP Server

MCP S3 File Uploader - A Model Context Protocol server for S3 uploads

Local serverstdioPython

What is the MCP MCP server?

MCP S3 File Uploader - A Model Context Protocol server for S3 uploads. That is what the mcp mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.

The short version

Perfect for AI assistants like Claude, Cursor, and any MCP-compatible client.

The tools it exposes

The server publishes 3 tools. What each one is for:

Getting it running

Installation goes through your MCP client rather than a global install: point it at mcp-s3 on PyPI and it is fetched when the client starts. The copy-paste blocks for Claude Desktop, Claude Code and Cursor are further down this page.

What it needs from you

Configuration is passed through the environment: AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, S3_BUCKET_NAME, AWS_DEFAULT_REGION. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.

How it compares

Plenty of developer tooling servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. MCP's toolset — PyPI, GitHub, Testing — is a fair guide to whether it matches your workflow.

SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.

Things to watch

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
  • Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.

Available tools

ToolWhat it does
PyPIhttps://pypi.org/project/mcp-s3/
GitHubhttps://github.com/dayongd1/mcp-s3
TestingThe Testing tool exposed by this server.

How to install the MCP MCP server

**Claude Desktop** - Add to config:
```json
{
  "mcpServers": {
    "s3": {
      "command": "mcp-s3",
      "args": ["--root", "~/uploads"],
      "env": {
        "AWS_ACCESS_KEY_ID": "your_key",
        "AWS_SECRET_ACCESS_KEY": "your_secret",
        "S3_BUCKET_NAME": "your-bucket"
      }
    }
  }
}

Configuration as documented by the project. Restart the client after saving.

Configuration

VariableDescriptionRequired
AWS_ACCESS_KEY_IDCredential the server authenticates with.Yes
AWS_SECRET_ACCESS_KEYCredential the server authenticates with.Yes
S3_BUCKET_NAMEConfiguration value read at startup.Optional
AWS_DEFAULT_REGIONConfiguration value read at startup.Optional

Example prompts to try

  • Use MCP to PyPI.
  • Use MCP to GitHub.
  • Use MCP to Testing.

Frequently asked questions

It connects MCP to MCP-compatible AI assistants such as Claude and Cursor, exposing 3 tools (PyPI, GitHub, Testing) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with MCP directly.