Abacatepay MCP
A

Abacatepay MCP

Changesets is an automated build tool for managing versions and releases in multi - package or single - package codebases.
2.5 points
0

What is Changesets?

Changesets is a build tool specifically designed to assist development teams in managing version control and release processes in codebases. It can automatically handle tasks such as version number updates, changelog generation, and package releases, supporting both single - package and multi - package projects.

How to use Changesets?

Through a simple command - line interface, developers can create change sets, review changes, update versions, and publish packages. The tool automatically tracks code changes and generates corresponding version update suggestions.

Applicable scenarios

Suitable for team projects that require a standardized version management process, especially monorepo multi - package repositories, open - source project releases, and CI/CD pipelines that require automated version control.

Main Features

Multi - package Repository Support
Designed specifically for monorepos, it can manage the versions and dependencies of multiple related packages simultaneously.
Automated Version Control
Automatically calculates and updates version numbers according to semantic versioning specifications, reducing human errors.
Changelog Generation
Automatically generates formatted changelogs, recording detailed change contents for each version.
CI/CD Integration
Seamlessly integrates with continuous integration systems, supporting automated release processes.
Advantages
Simplify complex version management processes and improve release efficiency.
Provide consistent version control specifications, reducing conflicts in team collaboration.
Automatically generate changelogs, ensuring the integrity and readability of release records.
Offer a good developer experience with a simple and easy - to - use command - line interface.
Limitations
May seem overly complex for small single - package projects.
Require team members to learn and adapt to a new workflow.
Initial configuration may require a certain learning cost.

How to Use

Install Changesets
Install the Changesets CLI tool in the project.
Initialize Configuration
Initialize the Changesets configuration, creating necessary folders and configuration files.
Create a Change Set
When there are code changes, create a change set to record the change contents.
Version Update
Automatically update version numbers and generate changelogs based on change sets.
Publish Packages
Publish the updated packages to the package manager.

Usage Examples

Version Release after Bug Fix
After fixing an important bug, use Changesets to manage the version release process.
New Feature Version Release
After completing the development of a new feature, prepare to release a minor version update.
Multi - package Collaborative Release
Multiple packages in a monorepo need to release new versions simultaneously.

Frequently Asked Questions

Is Changesets suitable for single - package projects?
How to revoke an added but unpublished change set?
Which package managers does Changesets support?
Should change set files be committed to version control?

Related Resources

Official Documentation
Complete official documentation and API reference for the Changesets project.
Frequently Asked Questions
Officially compiled frequently asked questions and usage tips.
GitHub Repository
Source code and issue tracking.
Getting Started Guide
Newcomer getting - started tutorials and quick - start guides.

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

R
Rsdoctor
Rsdoctor is a build analysis tool specifically designed for the Rspack ecosystem, fully compatible with webpack. It provides visual build analysis, multi - dimensional performance diagnosis, and intelligent optimization suggestions to help developers improve build efficiency and engineering quality.
TypeScript
7.4K
5 points
N
Next Devtools MCP
The Next.js development tools MCP server provides Next.js development tools and utilities for AI programming assistants such as Claude and Cursor, including runtime diagnostics, development automation, and document access functions.
TypeScript
7.4K
5 points
T
Testkube
Testkube is a test orchestration and execution framework for cloud-native applications, providing a unified platform to define, run, and analyze tests. It supports existing testing tools and Kubernetes infrastructure.
Go
4.5K
5 points
M
MCP Windbg
An MCP server that integrates AI models with WinDbg/CDB for analyzing Windows crash dump files and remote debugging, supporting natural language interaction to execute debugging commands.
Python
8.4K
5 points
R
Runno
Runno is a collection of JavaScript toolkits for securely running code in multiple programming languages in environments such as browsers and Node.js. It achieves sandboxed execution through WebAssembly and WASI, supports languages such as Python, Ruby, JavaScript, SQLite, C/C++, and provides integration methods such as web components and MCP servers.
TypeScript
6.7K
5 points
N
Netdata
Netdata is an open-source real-time infrastructure monitoring platform that provides second-level metric collection, visualization, machine learning-driven anomaly detection, and automated alerts. It can achieve full-stack monitoring without complex configuration.
Go
6.3K
5 points
M
MCP Server
The Mapbox MCP Server is a model context protocol server implemented in Node.js, providing AI applications with access to Mapbox geospatial APIs, including functions such as geocoding, point - of - interest search, route planning, isochrone analysis, and static map generation.
TypeScript
6.2K
4 points
U
Uniprof
Uniprof is a tool that simplifies CPU performance analysis. It supports multiple programming languages and runtimes, does not require code modification or additional dependencies, and can perform one-click performance profiling and hotspot analysis through Docker containers or the host mode.
TypeScript
8.0K
4.5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
58.6K
4.3 points
N
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
19.2K
4.5 points
M
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
30.6K
5 points
G
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
19.9K
4.3 points
U
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#
27.2K
5 points
F
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
55.5K
4.5 points
M
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.
Python
39.0K
4.8 points
G
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
18.0K
4.5 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase