AI Development Assistant MCP Server

@BranchManager69

Repository

Basic information

About AI Development Assistant MCP Server

MCP server with custom tools designed specifically for DegenDuel

#degenduel#ai-development #mcp-server

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

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is AI Development Assistant MCP Server?

AI Development Assistant MCP Server is an MCP server designed for Cursor that provides intelligent coding assistance through custom AI tools. It includes tools for code architecture planning, UI screenshot analysis, and git-based code review, but is primarily a tutorial demo and not production-ready.

How to use AI Development Assistant MCP Server?

Install dependencies with npm install (or yarn install), set your OpenAI API key in src/env/keys.ts, then build the server with npm run build-only. After building, add it to Cursor by going to Cursor Settings > Features > MCP, clicking + Add New MCP Server, setting Type to stdio, and entering node /path/to/build/index.js as the Command.

Key features of AI Development Assistant MCP Server

Code Architect: calls advanced reasoning LLMs to generate plans and instructions
Screenshot Buddy: takes UI design screenshots for use with the composer agent
Code Review: uses git diffs to trigger code reviews
Local development only; API keys stored in source file

Use cases of AI Development Assistant MCP Server

Automating code architecture generation for new features
Analyzing UI screenshots to improve designs
Performing code reviews based on git diffs
Learning how to build and integrate an MCP server in Cursor

Frequently asked questions

Is this server production-ready?

No. The README explicitly states it is mostly a tutorial demo and not a production-ready tool.

What API key is required?

An OpenAI API key must be set in `src/env/keys.ts`. The README notes this is only for local development and learning.

How is the server connected to Cursor?

It uses the **stdio** transport type. You add it as a new MCP server in Cursor Settings with a command pointing to the built `index.js`.

Where do the tools appear after setup?

The tools (Code Architect, Screenshot Buddy, Code Review) appear under "Available Tools" in Cursor's MCP server section, and can be used in Cursor's Composer.

What are the known limitations?

The project is intended as a tutorial demo. The author states they likely won't fix issues, and recommends forking the project for further development.

Comments

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