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Iris MCP Server

@MCP-Mirror

基本信息

分类

记忆与知识

传输方式

stdio

作者

MCP-Mirror

关于 Iris MCP Server

Mirror of

Iris MCP Server 配置

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该服务器的 README 中没有可解析的 MCP 配置块,请前往代码仓库查看安装说明。

代码仓库

Iris MCP Server 工具

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工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Iris MCP Server?

Iris MCP Server is a Model Context Protocol server that automatically generates tag-based release notes for Git repositories. It analyzes differences between tags and produces structured release notes, saved in a .iris directory. It is designed for developers who need consistent, categorized release documentation.

How to use Iris MCP Server?

Install it via npm: npm install iris-mcp-server. To generate a release note, invoke the generate_release_note tool with parameters such as startTag, endTag, title, features, improvements, bugfixes, and breaking. The server outputs Markdown and saves the result automatically to the .iris folder.

Key features of Iris MCP Server

  • Automatic detection of differences between Git tags
  • Customizable release note templates
  • Categorization into features, improvements, bugfixes, and breaking changes
  • Markdown format output
  • Auto-saves release notes to a .iris directory

Use cases of Iris MCP Server

  • Generating release notes for software version bumps
  • Automating changelog creation in CI/CD pipelines
  • Providing structured summaries of changes to team members
  • Keeping a permanent, versioned record of releases in the repository

常见问题

1

How do I install Iris MCP Server?

Install via npm: `npm install iris-mcp-server`.

2

How do I generate a release note?

Use the `generate_release_note` tool with parameters such as `startTag`, `endTag`, `title`, `features`, `improvements`, `bugfixes`, and `breaking`.

3

What output format does Iris MCP Server use?

The generated release note is in Markdown format.

4

Where are the release notes saved?

They are automatically saved to a `.iris` directory in the repository.

5

Can I customize the categories in the release note?

Yes, you can specify features, improvements, bugfixes, and breaking changes as input parameters to the tool.

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