Ai Develop Assistant
@jieshao11
About 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
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"ai-develop-assistant": {
"command": "uvx",
"args": [
"ai-develop-assistant@latest"
],
"env": {
"MCP_STORAGE_DIR": "/path/to/your/storage"
}
}
}
}Tools
No tools detected
Fetch the live tool list by running this server in a temporary sandbox using the button above.
Overview
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.
Frequently asked questions
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.
Basic information
More AI & Agents MCP servers
bsv.cx
Andy RoweTimestamp and verify evidence on-chain. Let your agent prove what it saw and when. bsv.cx gives an AI agent verifiable memory. Timestamp a hash of any output, archive a web page as it looked, or fetch a URL with a recei
Lumify Sports Intelligence
LumifyAgent-ready sports intelligence API: live scores, odds, line movement, public betting splits, and explainable bet confidence — via 16 MCP tools at https://lumify.ai/mcp. Get a free key instantly — no signup, email, or ca
BlazingCDN MCP - Content Delivery for Video, Software & Static Files
BlazingCDNOfficial MCP server for BlazingCDN - AI agents (Claude, Cursor, Windsurf) manage CDN resources, purge cache, query metrics, domains, Anycast CDN, Video CDN and Media CDN
q-ring
I4cTimeQuantum-inspired keyring for AI coding agents. Secure secrets with superposition, entanglement, tunneling, and teleportation — CLI + 44 MCP tools.
Simplepages
SimplepagesBuild and edit landing pages and websites from your AI assistant, and pull how they are performing.
Comments