AI Development Assistant MCP Server

@kleneway

Repository

Basic information

About AI Development Assistant MCP Server

Example of an MCP server with custom tools that can be called directly from cursor

#mathgpt #math-solver #math-assistant

AI Development Assistant MCP Server config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

AI Development Assistant MCP Server tools

Tool list not available yet

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Overview

What is 🤖 AI Development Assistant MCP Server?

An AI-powered development toolkit implemented as a Model Context Protocol (MCP) server for Cursor. It provides intelligent coding assistance through custom AI tools, but is primarily a tutorial demo and not a production-ready tool.

How to use 🤖 AI Development Assistant MCP Server?

Install dependencies with npm install or yarn install, build the server with npm run build, then add it to Cursor Settings > Features > MCP as a new stdio server with the command node /path/to/dist/index.js. Once added, tools appear in Composer and can be triggered by asking the AI explicitly (e.g., “Review this code for best practices”).

Key features of 🤖 AI Development Assistant MCP Server

Code Architect – generates plans and instructions using advanced reasoning LLMs
Screenshot Buddy – takes UI design screenshots and uses them with the composer agent
Code Review – uses git diffs to trigger code reviews
Simple environment setup with API keys in src/env/keys.ts
Integrates directly into Cursor’s composer interface

Use cases of 🤖 AI Development Assistant MCP Server

Architecture planning for new features by generating structured code plans
Visual UI analysis by capturing design screenshots for agent review
Automated code review triggered by git diffs to check best practices

Frequently asked questions

What dependencies are required?

Node.js and npm (or yarn) are required. An OpenAI API key must be provided in the `src/env/keys.ts` file or inline in the Cursor MCP interface.

Where are my API keys and data stored?

API keys are stored locally in the `keys.ts` file (or set inline) and sent to OpenAI when tools are used. The server runs locally and does not store user data externally.

Is this production-ready?

No. The project is explicitly described as a tutorial demo, not a production-ready tool. The author notes they likely won’t fix issues, but encourages forking.

What transport does this MCP server use?

It uses the stdio transport type, configured in Cursor as a command that runs the built `dist/index.js` file.

How do I trigger the tools?

The AI agent in Cursor’s Composer automatically suggests using relevant tools, or you can explicitly request them by name or description (e.g., “Analyze this UI screenshot”). The agent asks for approval before making tool calls.

Comments

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