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AI Development Assistant MCP Server

@BranchManager69

代码仓库

基本信息

分类

AI 与智能体

许可证

MIT license

传输方式

stdio

作者

BranchManager69

关于 AI Development Assistant MCP Server

MCP server with custom tools designed specifically for DegenDuel

#degenduel#ai-development#mcp-server

AI Development Assistant MCP Server 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

AI Development Assistant MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

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 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

常见问题

1

Is this server production-ready?

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

2

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.

3

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`.

4

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.

5

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.

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