An AI-powered MCP server for analyzing NPM package security, dependencies, and performance.
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.
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"]
}
}
}
# 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/markdown
doc://mcp/specification
:
llms-full.txt
content, providing the comprehensive Model Context Protocol specification.text/plain
packages
(string[])packages
(string[])packages
(string[])packages
(string[])packages
(string[])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[])# Build with npm
npm install
npm run build
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
Official MCP server for Buildable AI-powered development platform. Enables AI assistants to manage tasks, track progress, get project context, and collaborate with humans on software projects.
Captures and manages stdout logs from multiple processes via a named pipe system for real-time debugging and analysis.
Refines and structures prompts for large language models using the Anthropic API.
A code sandbox for AI assistants to safely execute arbitrary code. Requires a 302AI API key for authentication.
Interact with the Lean theorem prover via the Language Server Protocol (LSP), enabling LLM agents to understand, analyze, and modify Lean projects.
Interact with Juspay APIs for payment processing and merchant dashboard management.
A starter MCP server built with TypeScript and the official MCP SDK, featuring example tools like echo, add, time, and flight status.
Integrates with Microsoft's AutoGen framework to enable sophisticated multi-agent conversations via the Model Context Protocol.
Bootstrap Model Context Protocol (MCP) servers and clients in TypeScript with best practices, examples, and proper tooling setup.
Extracts images from files, URLs, or base64 strings and converts them to base64 for LLM analysis.