NPM Sentinel MCP

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A powerful Model Context Protocol (MCP) server that revolutionizes NPM package analysis through AI. Built to integrate with Claude and Anthropic AI, it provides real-time intelligence on package security, dependencies, and performance. This MCP server delivers instant insights and smart analysis to safeguard and optimize your npm ecosystem, making package management decisions faster and safer for modern development workflows.

Features

- Version analysis and tracking
- Dependency analysis and mapping
- Advanced Security Scanning: Recursive dependency checks, ecosystem awareness (e.g., React), and accurate version resolution.
- Strict Input Validation: Protection against Path Traversal, SSRF, and Command Injection via rigorous input sanitization.
- Package quality metrics
- Download trends and statistics
- TypeScript support verification
- Package size analysis
- Maintenance metrics
- Real-time package comparisons
- Standardized error handling and MCP response formats
- Efficient caching for improved performance and API rate limit management
- Rigorous schema validation and type safety using Zod

Note: The server provides AI-assisted analysis through MCP integration.

Caching and Invalidation

To ensure data accuracy while maintaining performance, the server implements robust caching strategies:
- Automatic Invalidation: The cache is automatically invalidated whenever pnpm-lock.yaml, package-lock.json, or yarn.lock changes in your workspace. This ensures you always get fresh data after installing or updating dependencies.
- Force Refresh: All tools accept an optional ignoreCache: true parameter to bypass the cache and force a fresh lookup from the registry.

Example Usage (JSON-RPC)

When calling a tool, simply include ignoreCache: true in the arguments:

{
  "name": "npmVersions",
  "arguments": {
    "packages": ["react"],
    "ignoreCache": true
  }
}

Installation

Migration to HTTP Streamable

This MCP server now supports both STDIO and HTTP streamable transport. Your existing STDIO configuration will continue to work without changes.

New capabilities:
- HTTP streamable transport via Smithery.ai
- Enhanced scalability and performance
- Interactive testing playground

Development commands:

# Development server with playground

npm run dev

Build for HTTP
npm run build:http
Start HTTP server
npm run start:http

Install in VS Code

Add this to your VS Code MCP config file. See VS Code MCP docs for more info.

{
  "servers": {
    "npm-sentinel": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "@nekzus/mcp-server@latest"]
    }
  }
}

Smithery.ai Deployment (HTTP Streamable)

This MCP server now supports HTTP streamable transport through Smithery.ai for enhanced scalability and performance. You can deploy it directly on Smithery.ai:
Benefits of HTTP deployment:
- Scalable: Handles multiple concurrent connections
- Streamable: Real-time streaming responses
- Managed: Automatic deployment and monitoring
- Backward Compatible: Still supports STDIO for local development
- Interactive Testing: Built-in playground for testing tools

Configuration for Smithery.ai:

{

  "mcpServers": {

    "npm-sentinel": {

      "type": "http",

      "url": "https://smithery.ai/server/@Nekzus/npm-sentinel-mcp"

    }

  }

}

Configuration

The server supports the following configuration options:

| Environment Variable | CLI Argument | Default | Description |
| -------------------- | ------------ | ------- | ----------- |
| NPM_REGISTRY_URL | config.NPM_REGISTRY_URL | https://registry.npmjs.org | URL of the NPM registry to use for all requests |

HTTP Deployment (Smithery/Docker)

When deploying via Smithery or Docker, you can configure these options in your configuration file:

{
  "mcpServers": {
    "npm-sentinel": {
      "type": "http",
      "url": "https://smithery.ai/server/@Nekzus/npm-sentinel-mcp",
      "config": {
        "NPM_REGISTRY_URL": "https://registry.npmjs.org"
      }
    }
  }
}

Docker

Build

# Build the Docker image
docker build -t nekzus/npm-sentinel-mcp .

Usage

You can run the MCP server using Docker with directory mounting to /projects:

{
  "mcpServers": {
    "npm-sentinel-mcp": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-w", "/projects",
        "--mount", "type=bind,src=${PWD},dst=/projects",
        "nekzus/npm-sentinel-mcp",
        "node",
        "dist/index.js"
      ]
    }
  }
}

For multiple directories:

{
  "mcpServers": {
    "npm-sentinel-mcp": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-w", "/projects",
        "--mount", "type=bind,src=/path/to/workspace,dst=/projects/workspace",
        "--mount", "type=bind,src=/path/to/other/dir,dst=/projects/other/dir,ro",
        "nekzus/npm-sentinel-mcp",
        "node",
        "dist/index.js"
      ]
    }
  }
}

Note: All mounted directories must be under /projects for proper access.

Usage with Claude Desktop

Add this to your claude_desktop_config.json:

{
  "mcpServers": {
    "npmsentinel": {
      "command": "npx",
      "args": ["-y", "@nekzus/mcp-server@latest"]
    }
  }
}

Configuration file locations:
- Windows: %APPDATA%\Claude\claude_desktop_config.json
- macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
- Linux: (Claude for Desktop does not officially support Linux at this time)

NPX

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