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npm-sentinel-mcp

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A powerful Model Context Protocol (MCP) server that revolutionizes NPM package analysis through AI.

MCP ServersRegistry oficial18 estrellas10 forksTypeScriptMITActualizado today
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82/100
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  • Open-source license (MIT)
  • Clear description
  • Topics declared
  • Mature repo (>1y old)
Last scanned: 6/11/2026
Install in Claude Code / Claude Desktop
Method: Manual
Claude Code CLI
git clone https://github.com/Nekzus/npm-sentinel-mcp
claude_desktop_config.json (Claude Desktop)
{
  "mcpServers": {
    "npm-sentinel-mcp": {
      "command": "node",
      "args": ["/path/to/npm-sentinel-mcp/dist/index.js"]
    }
  }
}
1. Run the command above in your terminal (Claude Code), or paste the JSON config into claude_desktop_config.json (Claude Desktop).
2. Replace any <placeholder> values with your API keys or paths.
3. Restart Claude. The MCP server and its tools appear automatically.
💡 Clone https://github.com/Nekzus/npm-sentinel-mcp and follow its README for install instructions.
Casos de uso

Resumen de MCP Servers

# NPM Sentinel MCP

<div align="center">

[![smithery badge](https://smithery.ai/badge/@Nekzus/npm-sentinel-mcp)](https://smithery.ai/server/@Nekzus/npm-sentinel-mcp)
[![Github Workflow](https://github.com/nekzus/NPM-Sentinel-MCP/actions/workflows/publish.yml/badge.svg?event=push)](https://github.com/Nekzus/npm-sentinel-mcp/actions/workflows/publish.yml)
[![npm version](https://img.shields.io/npm/v/@nekzus/mcp-server.svg)](https://www.npmjs.com/package/@nekzus/mcp-server)
[![npm-month](https://img.shields.io/npm/dm/@nekzus/mcp-server.svg)](https://www.npmjs.com/package/@nekzus/mcp-server)
[![npm-total](https://img.shields.io/npm/dt/@nekzus/mcp-server.svg?style=flat)](https://www.npmjs.com/package/@nekzus/mcp-server)
[![Docker Hub](https://img.shields.io/docker/pulls/mcp/npm-sentinel.svg?label=Docker%20Hub)](https://hub.docker.com/r/mcp/npm-sentinel)
[![Ask DeepWiki](https://deepwiki.com/badge.svg)](https://deepwiki.com/Nekzus/npm-sentinel-mcp)
[![Donate](https://img.shields.io/badge/donate-paypal-blue.svg?style=flat-square)](https://paypal.me/maseortega)

</div>

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.
- **Smart SemVer Shorthand & Range Resolution**: Transparently resolves major version shorthands, prefixes, and ranges (e.g., `express@2`, `express@v4`, `zod@3.x`, `react@^18`, `lodash@~4.17`) to the highest matching release without failing on missing exact version keys.
- **Indirect Prompt Injection Defense (OWASP LLM01)**: All tools returning raw 3rd-party Markdown/text (`npmPackageReadme`, `npmChangelogAnalysis`) wrap untrusted content in `<untrusted_external_content>` tags, attach `_meta.untrustedExternalContent = true` flags, and enforce strict tool schema warnings.
- **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.

## Security & OWASP LLM01 Compliance

This server implements **Defense-in-Depth** controls aligned with OWASP LLM01:2025 (Indirect Prompt Injection):

1. **XML Data Demarcation**: Content from external packages (`README.md`, GitHub changelogs, release notes) is wrapped inside `<untrusted_external_content source="..." package="..." type="...">` tags so consuming LLM models distinguish untrusted data from instructions.
2. **Metadata Signaling (`_meta`)**: Responses include `_meta.untrustedExternalContent = true` and `_meta.sources` arrays for programmatic client-side detection and policy enforcement.
3. **Tool & Prompt Safety Warnings**: Tool descriptions and prompt definitions explicitly instruct LLM agents to treat documentation as passive data and ignore embedded execution commands.
4. **Prototype Pollution Protection**: Enforces `Object.hasOwn()` checks on dictionary lookups (blocking reserved properties like `constructor` and `__proto__`).

## 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:

```json
{
  "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:**
```bash
# Compile TypeScript
pnpm run build

# Start STDIO server
pnpm run start

# Development server with playground
pnpm run dev
```

### Install in VS Code

[<img alt="Install in VS Code (npx)" src="https://img.shields.io/badge/VS_Code-VS_Code?style=flat-square&label=Install%20NPM%20Sentinel%20MCP&color=0098FF">](https://insiders.vscode.dev/redirect?url=vscode%3Amcp%2Finstall%3F%257B%2522name%2522%253A%2522npm-sentinel%2522%252C%2522config%2522%253A%257B%2522command%2522%253A%2522npx%2522%252C%2522args%2522%253A%255B%2522-y%2522%252C%2522%2540nekzus%252Fmcp-server%2540latest%2522%255D%257D%257D)
[<img alt="Install in VS Code Insiders (npx)" src="https://img.shields.io/badge/VS_Code_Insiders-VS_Code_Insiders?style=flat-square&label=Install%20NPM%20Sentinel%20MCP&color=24bfa5">](https://insiders.vscode.dev/redirect?url=vscode-insiders%3Amcp%2Finstall%3F%257B%2522name%2522%253A%2522npm-sentinel%2522%252C%2522config%2522%253A%257B%2522command%2522%253A%2522npx%2522%252C%2522args%2522%253A%255B%2522-y%2522%252C%2522%2540nekzus%252Fmcp-server%2540latest%2522%255D%257D%257D)

Add this to your VS Code MCP config file. See [VS Code MCP docs](https://code.visualstudio.com/docs/copilot/chat/mcp-servers) for more info.

```json
{
  "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:**
```json
{
  "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:

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

#### Build
```bash
# 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`:

```json
{
  "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:

```json
{
  "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`:

```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

<!-- [![Install MCP Server](https://cursor.com/deeplink/mcp-install-dark.png)](cursor://anysphere.cursor-deeplink/mcp/install?name=npm-sentinel-mcp&config=eyJjb21tYW5kIjoibnB4IiwiYXJncyI6WyIteSIsIkBuZWt6dXMvbWNwLXNlcnZlckBsYXRlc3QiXX0=) -->

```json
{
  "mcpServers": {
    "npm-sentinel-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@nekzus/mcp-server@latest"
      ]
    }
  }
}
```

## API

The server exposes its tools via the Model Context Protocol. All tools adhere to a standardized response format:
```json
{
  "content": [
    {
      "type": "text",
      "text": "string",
      "isError": boolean // Optional
    }
    // ... more content items if nece
mcpmcp-servernpmnpm-package

Lo que la gente pregunta sobre npm-sentinel-mcp

¿Qué es Nekzus/npm-sentinel-mcp?

+

Nekzus/npm-sentinel-mcp es mcp servers para el ecosistema de Claude AI. A powerful Model Context Protocol (MCP) server that revolutionizes NPM package analysis through AI. Tiene 18 estrellas en GitHub y se actualizó por última vez today.

¿Cómo se instala npm-sentinel-mcp?

+

Puedes instalar npm-sentinel-mcp clonando el repositorio (https://github.com/Nekzus/npm-sentinel-mcp) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.

¿Es seguro usar Nekzus/npm-sentinel-mcp?

+

Nuestro agente de seguridad ha analizado Nekzus/npm-sentinel-mcp y le ha asignado un Trust Score de 82/100 (tier: Trusted). Revisa el desglose completo de comprobaciones superadas y flags en esta página.

¿Quién mantiene Nekzus/npm-sentinel-mcp?

+

Nekzus/npm-sentinel-mcp es mantenido por Nekzus. La última actividad registrada en GitHub es de today, con 0 issues abiertos.

¿Hay alternativas a npm-sentinel-mcp?

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