Code Snippets (S3)
An S3 - based code snippet service using the Bun runtime
rating : 2 points
downloads : 5.6K
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.

Notion Api MCP
Certified
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.
Python
17.5K
4.5 points

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.
TypeScript
28.6K
5 points

Gitlab MCP Server
Certified
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.
TypeScript
17.5K
4.3 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
53.9K
4.3 points

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.
TypeScript
51.3K
4.5 points

Unity
Certified
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.
C#
24.3K
5 points

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.
TypeScript
17.2K
4.5 points

Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
75.7K
4.7 points

