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req-refine MCP server

@daniyuu

关于 req-refine MCP server

ReqRefine is an MCP server that enhances requirement gathering through strategic questioning. It guides users to reveal comprehensive needs, uncovers implicit requirements, and transforms dialogue into structured specifications.

基本信息

分类

其他

运行时

python

传输方式

stdio

发布者

daniyuu

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp-server-req-refine": {
      "command": "uv",
      "args": [
        "sync"
      ]
    }
  }
}

工具

1

Adds a new note to the server

概览

What is req-refine MCP server?

ReqRefine is an MCP conversational service that enhances requirements gathering through strategic questioning. It guides users to reveal comprehensive needs, uncover implicit requirements, and transforms dialogue into structured specifications, turning requirements collection into a collaborative discovery process.

How to use req-refine MCP server?

Install the server by adding the appropriate configuration to your MCP client’s settings file (e.g., claude_desktop_config.json). For development, use uv --directory <path> run req-refine; for published releases, use uvx req-refine. Once configured, interact via the available tool (add-note) and prompt (summarize-notes) through your MCP client.

Key features of req-refine MCP server

  • Enhances requirements gathering through strategic questioning
  • Guides users to reveal comprehensive and implicit needs
  • Transforms dialogue into structured specifications
  • Provides a note storage system with a custom note:// URI scheme
  • Offers a summarize-notes prompt with optional style (brief/detailed)
  • Implements an add-note tool for creating new notes

Use cases of req-refine MCP server

  • Eliciting comprehensive requirements from stakeholders during project kickoffs
  • Uncovering implicit requirements that might otherwise be missed
  • Structuring verbal discussions into formal specifications
  • Collaborative requirements refinement in team settings

FAQ from req-refine MCP server

What does ReqRefine

评论

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