MCP cover image
See in Github
2025-03-27

帮助LLM更好地了解您的下一个应用程序

5

Github Watches

6

Github Forks

85

Github Stars

Next.js MCP Server

Demo

Router analysis demo

Features

  • get-routers-info

    The Router Analyzer scans your Next.js app directory structure and extracts information about all API routes, including:

    • API paths
    • HTTP methods (GET, POST, PUT, DELETE, etc.)
    • Request parameters
    • Status codes
    • Request and response schemas

Installation

npm install next-mcp-server

Or if you're using pnpm:

pnpm add next-mcp-server

Usage

Command Line

You can run the mcp server directly:

npm run build
node dist/index.js

Docker

docker build -t mcp/next -f Dockerfile .
docker run mcp/next -d

For cursor usage, define a mcp.json under ~/.cursor or [projectDir]/.cursor

{
  "mcpServers": {
    "next.js": {
      "url": "http://localhost:4857/sse"
    }
  }
}

The url here could vary based on your .env settings within the project.

Output

The tool generates detailed information about each route:

[
  {
    "filePath": "/path/to/your/app/api/test/route.ts",
    "implementationPath": "/path/to/your/app/api/test/route.ts",
    "apiPath": "/api/test",
    "handlers": [
      {
        "method": "GET",
        "path": "/api/test",
        "functionSignature": "export async function GET(request: Request)",
        "description": "Get test data",
        "parameters": [],
        "statusCodes": [200]
      },
      {
        "method": "POST",
        "path": "/api/test",
        "functionSignature": "export async function POST(request: Request)",
        "description": "Create test data",
        "parameters": [],
        "requestBodySchema": "{ name: string }",
        "statusCodes": [201, 400]
      }
    ]
  }
]

Development

To run tests:

npm run test

To run the mcp server locally:

npm run build
node dist/index.js 

To run it from node_modules after npm i:

node node_modules/next-mcp-server/dist/index.js

To run the playground:

pnpm --filter playground dev

How It Works

The tool:

  1. Scans your Next.js app directory structure for route files
  2. Analyzes each route file to extract HTTP methods, paths, parameters, etc.
  3. Extracts documentation from comments
  4. Returns a structured representation of all your API routes

Restrictions

  1. Due to the nature of accessing filesystem directory by path, it will not work if hosted over network
  2. Only supports Next.js App router projects

License

MIT

相关推荐

  • https://suefel.com
  • Latest advice and best practices for custom GPT development.

  • Yusuf Emre Yeşilyurt
  • I find academic articles and books for research and literature reviews.

  • https://maiplestudio.com
  • Find Exhibitors, Speakers and more

  • Carlos Ferrin
  • Encuentra películas y series en plataformas de streaming.

  • Joshua Armstrong
  • Confidential guide on numerology and astrology, based of GG33 Public information

  • Emmet Halm
  • Converts Figma frames into front-end code for various mobile frameworks.

  • Elijah Ng Shi Yi
  • Advanced software engineer GPT that excels through nailing the basics.

  • Alexandru Strujac
  • Efficient thumbnail creator for YouTube videos

  • lumpenspace
  • Take an adjectivised noun, and create images making it progressively more adjective!

  • Lists Tailwind CSS classes in monospaced font

  • https://appia.in
  • Siri Shortcut Finder – your go-to place for discovering amazing Siri Shortcuts with ease

  • apappascs
  • 发现市场上最全面,最新的MCP服务器集合。该存储库充当集中式枢纽,提供了广泛的开源和专有MCP服务器目录,并提供功能,文档链接和贡献者。

  • ShrimpingIt
  • MCP系列GPIO Expander的基于Micropython I2C的操作,源自ADAFRUIT_MCP230XX

  • Mintplex-Labs
  • 带有内置抹布,AI代理,无代理构建器,MCP兼容性等的多合一桌面和Docker AI应用程序。

  • jae-jae
  • MCP服务器使用剧作《无头浏览器》获取网页内容。

  • ravitemer
  • 一个功能强大的Neovim插件,用于管理MCP(模型上下文协议)服务器

  • patruff
  • Ollama和MCP服务器之间的桥梁,使本地LLMS可以使用模型上下文协议工具

  • pontusab
  • 光标与风浪冲浪社区,查找规则和MCP

  • WangRongsheng
  • 🧑‍🚀 llm 资料总结(数据处理、模型训练、模型部署、 o1 模型、mcp 、小语言模型、视觉语言模型)|摘要世界上最好的LLM资源。

  • n8n-io
  • 具有本机AI功能的公平代码工作流程自动化平台。将视觉构建与自定义代码,自宿主或云相结合,400+集成。

  • open-webui
  • 用户友好的AI接口(支持Ollama,OpenAi API,...)

    Reviews

    4 (1)
    Avatar
    user_mkpnne7k
    2025-04-17

    As a dedicated MCP app user, I've found the next-mcp-server by vertile-ai to be an excellent solution. The seamless integration and robust performance have truly enhanced my experience. Highly recommend checking it out: https://github.com/vertile-ai/next-mcp-server.