About req-refine MCP server
ReqRefine is an MCP conversational service for gathering requirements through strategic questions and turning dialogue into structured specifications. Its README also describes note storage, a prompt for summarizing notes, and a tool for adding them.
Key features
- 01Guide requirement discovery with questions
- 02Turn dialogue into structured specifications
- 03Store notes as resources
- 04Summarize notes with a style option
- 05Add notes and notify clients of changes
Use cases
- 01Elicit implicit requirements during discovery
- 02Convert requirement discussions into specifications
- 03Save notes from a requirements session
- 04Summarize stored notes briefly or in detail
MCP support
Provides note resources using the `note://` URI scheme, a `summarize-notes` prompt with an optional style argument, and an `add-note` tool that updates state and notifies clients of resource changes.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEreq-refine MCP server
ReqRefine is an MCP conversational service that enhances requirement gathing through strategic questioning.It guides users to reveal comprehensive needs, unconvers implict requirements, and transforms dialogue into structured specifications. ReqRefine turns requirements collection from a one-side interview into a collaborative dicovery process.
Components
Resources
The server implements a simple note storage system with:
- Custom note:// URI scheme for accessing individual notes
- Each note resource has a name, description and text/plain mimetype
Prompts
The server provides a single prompt:
- summarize-notes: Creates summaries of all stored notes
- Optional "style" argument to control detail level (brief/detailed)
- Generates prompt combining all current notes with style preference
Tools
The server implements one tool:
- add-note: Adds a new note to the server
- Takes "name" and "content" as required string arguments
- Updates server state and notifies clients of resource changes
Configuration
[TODO: Add configuration details specific to your implementation]
Quickstart
Install
Claude Desktop
On MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json
Development/Unpublished Servers Configuration
``` "mcpServers": { "req-refine": { "command": "uv", "args": [ "--directory", "D:\code\mcp-server-req-refine", "run", "req-refine" ] } } ```Published Servers Configuration
``` "mcpServers": { "req-refine": { "command": "uvx", "args": [ "req-refine" ] } } ```Development
Building and Publishing
To prepare the package for distribution:
- Sync dependencies and update lockfile:
uv sync
- Build package distributions:
uv build
This will create source and wheel distributions in the dist/ directory.
- Publish to PyPI:
uv publish
Note: You'll need to set PyPI credentials via environment variables or command flags:
- Token:
--tokenorUV_PUBLISH_TOKEN - Or username/password:
--username/UV_PUBLISH_USERNAMEand--password/UV_PUBLISH_PASSWORD
Debugging
Since MCP servers run over stdio, debugging can be challenging. For the best debugging experience, we strongly recommend using the MCP Inspector.
You can launch the MCP Inspector via npm with this command:
npx @modelcontextprotocol/inspector uv --directory D:\code\req-refine run req-refine
Upon launching, the Inspector will display a URL that you can access in your browser to begin debugging.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.