Code Snippets (S3)

Code Snippets (S3)

An S3 - based code snippet service using the Bun runtime

Developer tools Cloud storage #Bun runtime #S3 storage #Code snippets #MCP service Local .TypeScript

rating : 2 points

downloads : 5.1K

update time : 2025-04-28

What is Bun-S3-MCP?

Bun-S3-MCP is a Model Context Protocol (MCP) service built on the Bun runtime. It allows you to upload code snippets in Markdown format to Amazon S3 storage and retrieve them.

How to use Bun-S3-MCP?

First, make sure the Bun runtime is installed. Then, start the service with a simple command. Next, you can upload code snippets and download them at any time.

Use Cases

Suitable for developers who need to frequently manage and share code snippets, especially in cross - device collaboration.

Main Features

Directly use the Bun runtime

Quickly deploy and run the service without compilation.

Efficient S3 integration

Utilize Bun's native S3 bindings for fast data operations.

Pre - loading support

Support simulation and pre - loading configuration in the test environment.

Advantages

No need to rely on a complex compilation toolchain

Efficient S3 interaction performance

Flexible pre - loading mechanism for testing

Limitations

Limited to the Bun runtime environment

Dependent on an AWS account

How to Use

Install Bun

Make sure the latest version of the Bun runtime is installed on the system.

Start the service

Run `bun run start` to start the MCP service.

Upload a code snippet

Use the `upload` command to upload your code snippet.

Download a code snippet

Use the `download` command to get the previously uploaded code.

Usage Examples

Example 1: Upload a code snippet

A user wants to upload a script from the current project to the cloud for later viewing.

Example 2: Download a code snippet

A developer needs to retrieve the last committed code snippet from the remote repository for debugging.

Frequently Asked Questions

Does Bun - S3 - MCP support other cloud providers?

How to verify if the service is working properly?

Related Resources

Official Documentation

Learn more details about Bun S3 bindings.

GitHub Repository

Access the project's source code and examples.

A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.

Markdownify MCP

Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.

Gitlab MCP Server

The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.

Duckduckgo MCP Server

The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.

UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.

Figma Context MCP

Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.

Gmail MCP Server

A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.

Minimax MCP Server

The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.

AIBase

Zhiqi Future, Your AI Solution Think Tank

English 简体中文繁體中文にほんご

© 2025AIBase