AIBase
EN
Explore
Discogs MCP Server
D

Discogs MCP Server

Changesets is a build tool for managing versions and releases in multi - package or single - package codebases, automatically generated by @changesets/cli.
Version controlDeveloper tools#Version management#Build tool#Multi - package management.TypeScript
2.5 points
9.0K
Open Site

Overview

Content Details

Alternatives

What is Changesets?

Changesets is a version management and release tool designed specifically for JavaScript projects. It simplifies the version release process for multi - package repositories (monorepos) or single - package projects by tracking code changes and generating version update logs.

How to use Changesets?

After installing the CLI tool, developers can add change descriptions through simple commands, and the tool will automatically calculate version numbers and generate update logs. When releasing, it will correctly handle all dependencies.

Use cases

It is especially suitable for teams maintaining large multi - package projects that need to coordinate the versions of multiple interdependent packages. It is also suitable for single - package projects that want to standardize the release process.

Main features

Intelligent version management
Automatically calculate new version numbers based on the change type (semver), supporting major/minor/patch version updates.
Automatically generate change logs
Based on the change descriptions provided by developers, automatically generate a formatted CHANGELOG.md file.
Multi - package repository support
Correctly handle the dependencies between multiple packages in a monorepo to ensure that versions are updated synchronously.
Friendly for team collaboration
Change sets can be submitted to version control, facilitating team review and merging of changes.
Advantages
Simplify the complex version release process and reduce human errors
Clear change records help users understand the content of version updates
Particularly suitable for managing multi - package projects with interdependencies
Seamlessly integrate with the Git workflow to support team collaboration
Limitations
Mainly targeted at JavaScript/TypeScript projects
Team members need to follow the same change record specification
May be too complex for small single - package projects

How to use

Install Changesets
Install the @changesets/cli package as a development dependency in the project
Initialize the configuration
Run the initialization command to create the basic configuration
Add change descriptions
After development is completed, run the command to add change descriptions
Version update
Update the version number and generate the change log based on the change sets
Publish
Publish the updated packages to the npm repository

Usage examples

Fix a bug and release a patch version
When a bug is fixed and a patch version update needs to be released
Add a new feature and release a minor version
When adding a backward - compatible new feature
Coordinate updates for multiple packages in a monorepo
When modifying a dependency shared by multiple packages

Frequently Asked Questions

What is the difference between Changesets and the traditional npm version?
How to undo an added but unpublished change set?
Does Changesets support private packages?
Can the format of the change log be customized?

Related resources

Official documentation
Complete documentation and API reference for the Changesets project
Frequently Asked Questions
Solutions to common problems during use
Monorepo management example
A complete example project for managing a monorepo using Changesets

Installation

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

Alternatives

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
4.5K
4.5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
5.7K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
7.3K
5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
7.5K
5 points
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
9.4K
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
10.8K
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
6.5K
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
11.5K
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
24.4K
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
20.4K
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
34.3K
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
71.9K
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#
31.1K
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
65.4K
4.5 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
21.0K
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
48.6K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
English简体中文繁體中文にほんご
© 2026AIBase