Ai Develop Assistant
@jieshao11
关于 Ai Develop Assistant
协助AI开发者需求完善、模块设计、技术架构设计的mcp
基本信息
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"
}
}
}
}工具
未检测到工具
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 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
FAQ from Ai Develop Assistant
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.
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.
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.
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.
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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