Server data from the Official MCP Registry
Provide AI-powered real-time analysis and intelligence on NPM packages, including security, depend…
Provide AI-powered real-time analysis and intelligence on NPM packages, including security, depend…
Remote endpoints: streamable-http: https://server.smithery.ai/@Nekzus/npm-sentinel-mcp/mcp
Valid MCP server (2 strong, 2 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry. Trust signals: trusted author (3/3 approved).
1 tool verified · Open access · No issues found
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Available as Local & Remote
This plugin can run on your machine or connect to a hosted endpoint. during install.
From the project's GitHub README.
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.
Note: The server provides AI-assisted analysis through MCP integration.
To ensure data accuracy while maintaining performance, the server implements robust caching strategies:
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.ignoreCache: true parameter to bypass the cache and force a fresh lookup from the registry.When calling a tool, simply include ignoreCache: true in the arguments:
{
"name": "npmVersions",
"arguments": {
"packages": ["react"],
"ignoreCache": true
}
}
This MCP server now supports both STDIO and HTTP streamable transport. Your existing STDIO configuration will continue to work without changes.
New capabilities:
Development commands:
# Development server with playground
npm run dev
# Build for HTTP
npm run build:http
# Start HTTP server
npm run start:http
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"]
}
}
}
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:
Configuration for Smithery.ai:
{
"mcpServers": {
"npm-sentinel": {
"type": "http",
"url": "https://smithery.ai/server/@Nekzus/npm-sentinel-mcp"
}
}
}
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 |
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"
}
}
}
}
# Build the Docker image
docker build -t nekzus/npm-sentinel-mcp .
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.
Add this to your claude_desktop_config.json:
{
"mcpServers": {
"npmsentinel": {
"command": "npx",
"args": ["-y", "@nekzus/mcp-server@latest"]
}
}
}
Configuration file locations:
%APPDATA%\Claude\claude_desktop_config.json~/Library/Application Support/Claude/claude_desktop_config.json{
"mcpServers": {
"npm-sentinel-mcp": {
"command": "npx",
"args": [
"-y",
"@nekzus/mcp-server@latest"
]
}
}
}
The server exposes its tools via the Model Context Protocol. All tools adhere to a standardized response format:
{
"content": [
{
"type": "text",
"text": "string",
"isError": boolean // Optional
}
// ... more content items if necessary
]
}
npm://registry: NPM Registry interfacenpm://security: Security analysis interfacenpm://metrics: Package metrics interfaceThe server also provides the following informational resources accessible via MCP GetResource requests:
doc://server/readme:
README.md file content for this NPM Sentinel MCP server.text/markdowndoc://mcp/specification:
llms-full.txt content, providing the comprehensive Model Context Protocol specification.text/plainpackages (string[])packages (string[])packages (string[])packages (string[])packages (string[])deps.dev API to resolve massive dependency trees (e.g. Next.js, Astro) in a single request, bypassing deep recursion limitations.packages (string[])packages (string[])period ("last-week" | "last-month" | "last-year")packages (string[])packages (string[])packages (string[])packages (string[])query (string)limit (number, optional)packages (string[])packages (string[])packages (string[])packages (string[])packages (string[])packages (string[])packages (string[])# Install dependencies
npm install
# Build for STDIO (traditional)
npm run build:stdio
# Build for HTTP (Smithery)
npm run build:http
# Development server
npm run dev
This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.
MIT © nekzus
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