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Ai Develop Assistant MCP Server

@jieshao11

代码仓库

基本信息

分类

AI 与智能体

传输方式

stdio

作者

jieshao11

提交者

jieshao11

关于 Ai Develop Assistant MCP Server

协助AI开发者需求完善、模块设计、技术架构设计的mcp

#ai-develop-assistant#mcp#project-management

Ai Develop Assistant MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "ai-develop-assistant": {
      "command": "uvx",
      "args": [
        "ai-develop-assistant@latest"
      ],
      "env": {
        "MCP_STORAGE_DIR": "/path/to/your/storage"
      }
    }
  }
}

Ai Develop Assistant MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

What is Ai Develop Assistant?

Ai Develop Assistant is an MCP server that helps developers clarify requirements, design architecture, and export project documentation. It integrates with the Claude Desktop environment and stores data persistently in local files.

How to use Ai Develop Assistant?

Configure the server in the Claude Desktop JSON config file, set the MCP_STORAGE_DIR environment variable, and restart Claude Desktop. Then use its five tools (requirement_clarifier, requirement_manager, architecture_designer, export_final_document, view_requirements_status) to follow a complete project analysis flow.

Key features of Ai Develop Assistant

  • Requirement clarification and management tools
  • Architecture design generation tool
  • Persistent storage with automatic saves
  • Multi-format export (JSON + Markdown)
  • Complete operation history tracking
  • Configurable storage directory via environment variable

Use cases of Ai Develop Assistant

  • Clarifying vague project requirements with structured prompts
  • Managing requirement documents with version history
  • Generating architecture designs for web applications
  • Exporting final project documentation in JSON and Markdown
  • Tracking analysis progress with status viewing tool

常见问题

1

What kind of projects can Ai Develop Assistant handle?

The README demonstrates a Web AI resource sharing site example, suggesting it handles general software project analysis and architecture design.

2

What are the runtime requirements?

The server runs with Python and is configured via the Claude Desktop `claude_desktop_config.json` file. A test script (`test_optimized_mcp.py`) is provided for validation.

3

Where does the data live?

All data is stored locally in the directory specified by the `MCP_STORAGE_DIR` environment variable (default `./mcp_data`). Files include `requirements.json`, `history.json`, and exported documents.

4

How does it compare to the original version?

Improvements over the original include data persistence, history tracking, document export, real-time status viewing, and flexible storage configuration.

5

What transport or authentication does it use?

The server uses standard Claude Desktop MCP transport (stdio). No authentication is mentioned; it assumes local usage.

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