Overview
What is 🤖 AI Development Assistant MCP Server?
This is a Model Context Protocol (MCP) server for Cursor that provides AI-powered coding tools including code architecture planning, screenshot analysis, code review, and file reading. It is intended as a tutorial demo rather than a production-ready system.
How to use 🤖 AI Development Assistant MCP Server?
Set an OpenAI API key in src/env/keys.ts, then run npm install and npm run build. Configure the server in Cursor/Windsurf by adding an MCP server with the command node and the full path to the built index.js. Once configured, the tools appear in the Composer and can be triggered by name or description.
Key features of 🤖 AI Development Assistant MCP Server
- Code Architect: generate plans with advanced LLMs.
- Screenshot Buddy: analyze UI design screenshots.
- Code Review: trigger reviews via git diffs.
- Read single file for efficient data analysis.
- Read multiple files for bulk processing.
Use cases of 🤖 AI Development Assistant MCP Server
- Review code for best practices using current git diff.
- Plan and architect new features with structured guidance.
- Analyze UI screenshots to inform design changes.
- Read and combine multiple files for data analysis.
FAQ from 🤖 AI Development Assistant MCP Server
What runtime does it require?
It requires Node.js and the npm or yarn package manager.
Where is the API key stored?
During local development it is stored in src/env/keys.ts. For production use, set the key as an environment variable inline in the Cursor MCP interface.
Is this server production-ready?
No — the README explicitly states it is a tutorial demo and not intended for production.
How do I see the available tools after adding the server?
Tools appear under “Available Tools” in Cursor. If they do not appear, click the refresh button in the MCP server section.
Does the AI use tools automatically?
The AI will suggest relevant tools, but the user must approve before any tool call is executed.
