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Node Omnibus MCP Server

Node Omnibus MCP Server

Local
github.com/bsmi021Developer Tools9Updated 82w ago

About Node Omnibus MCP Server

Node Omnibus MCP Server provides project scaffolding, component generation, configuration management, and documentation tools for Node.js development. It is for developers who want to invoke these tasks through an MCP client, and supports React, Next.js, Express, Fastify, and plain Node.js projects.

Key features

  1. 01Create several Node.js project types
  2. 02Install and manage dependencies
  3. 03Generate React components and type definitions
  4. 04Manage TypeScript, scripts, and configuration
  5. 05Create README, API, and component documentation
  6. 06Prompts for code analysis and debugging

Use cases

  1. 01Scaffold a project with TypeScript setup
  2. 02Generate components and types for a React project
  3. 03Update npm scripts or tsconfig
  4. 04Create project documentation through an MCP client

MCP support

This MCP server runs over stdio and exposes project, package, component, configuration, and documentation tools to compatible clients, along with related prompts.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"node-omnibus-server": {
"command": "npx",
"args": [
"-y",
"@smithery/cli"
]
}
}
}
Run commandnpx -y @smithery/cli

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@smithery/cli

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

Node Omnibus MCP Server

smithery badge

A comprehensive Model Context Protocol (MCP) server that provides advanced Node.js development tooling and automation capabilities.

Features

Project Management
  • Project Creation: Scaffold new projects with built-in support for:
    • React
    • Next.js
    • Express
    • Fastify
    • Plain Node.js
  • TypeScript Integration: Automatic TypeScript configuration and setup
  • Package Management: Smart dependency installation and version management
Component Generation
  • Create React components (functional or class-based)
  • TypeScript interfaces generation
  • Automatic prop types definition
  • Component documentation generation
Configuration Management
  • TypeScript configuration management
  • NPM script management
  • Package.json updates
  • Environment setup
Documentation
  • Project README generation
  • API documentation
  • Component documentation
  • TypeScript type definitions documentation
AI-Powered Assistance
  • Project creation guidance
  • Code analysis and improvements
  • Component generation assistance
  • Git commit message suggestions
  • Error debugging assistance

Installation

Installing via Smithery

To install Node Omnibus Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @bsmi021/mcp-node-omnibus-server --client claude
  1. Clone the repository
  2. Install dependencies:
npm install

Usage

The server operates using the Model Context Protocol over stdio. It can be integrated with any MCP-compatible client.

Starting the Server
npm start
Available Tools
  1. create_project

    {
      name: string;
      type: 'react' | 'node' | 'next' | 'express' | 'fastify';
      path: string;
      typescript?: boolean;
    }
    
  2. install_packages

    {
      packages: string[];
      path: string;
      dev?: boolean;
    }
    
  3. generate_component

    {
      name: string;
      path: string;
      type: 'functional' | 'class';
      props?: Record<string, string>;
    }
    
  4. create_type_definition

    {
      name: string;
      path: string;
      properties: Record<string, string>;
    }
    
  5. add_script

    {
      path: string;
      name: string;
      command: string;
    }
    
  6. update_tsconfig

    {
      path: string;
      options: Record<string, unknown>;
    }
    
  7. create_documentation

    {
      path: string;
      type: 'readme' | 'api' | 'component';
      name?: string;
    }
    
Available Prompts
  1. create-project

    {
      projectType: string;  // react, node, next, express, fastify
      features?: string;    // comma-separated list of features
    }
    
  2. analyze-code

    {
      code: string;
      language: string;
    }
    
  3. generate-component

    {
      name: string;
      type: string;  // functional or class
    }
    
  4. git-commit

    {
      changes: string;  // Git diff or description of changes
    }
    
  5. debug-error

    {
      error: string;  // Error message or stack trace
    }
    

Project Structure

node-omnibus-server/
├── src/
│   └── index.ts        # Main server implementation
├── dist/               # Compiled JavaScript
├── node_modules/       # Dependencies
├── package.json        # Project configuration
└── tsconfig.json      # TypeScript configuration

Development

Building
npm run build
Running Tests
npm test
Development Mode
npm run dev

Integration

VSCode Configuration

Add to your VSCode settings:

{
  "mcpServers": {
    "node-omnibus": {
      "command": "node",
      "args": ["path/to/node-omnibus-server/dist/index.js"]
    }
  }
}
Client Usage Example
const client = new McpClient();
await client.connect(transport);

// Create a new React project
const result = await client.callTool('create_project', {
  name: 'my-app',
  type: 'react',
  path: './projects',
  typescript: true
});

// Use AI assistance for project setup
const guidance = await client.getPrompt('create-project', {
  projectType: 'react',
  features: 'typescript,testing,docker'
});

Contributing

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes
  4. Submit a pull request

License

MIT License - See LICENSE file for details

Requirements

  • Node.js >= 14.x
  • npm >= 6.x
  • TypeScript >= 4.x

Dependencies

  • @modelcontextprotocol/sdk
  • axios
  • typescript (dev)

Comments

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New to MCP?

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An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.