Overview
What is NPM MCP Server?
NPM MCP Server is a Model Context Protocol server that fetches detailed information about npm packages. It provides a search tool for individual packages and a resource listing the 10 most popular packages. It is intended for developers and AI agents that need rapid, structured package metadata.
How to use NPM MCP Server?
Install via Smithery (npx -y @smithery/cli install @mateusribeirocampos/npm-mcp-server --client claude) or manually (npm install, then npm run build and npm start). Use the searchNpmPackage tool with a packageName argument or access the npm://popular resource URI.
Key features of NPM MCP Server
- Search any npm package by name for detailed info
- List the top 10 most popular npm packages
- Returns version, description, author, and homepage
- Provides dependencies for searched packages
- Exposes resource URI
npm://popular - Written in TypeScript using the MCP SDK
Use cases of NPM MCP Server
- Get package information before installation
- Compare different package versions or alternatives
- Analyze dependencies of a specific package
- Find popular packages and their descriptions
- Quick package summaries for AI‑assisted development
FAQ from NPM MCP Server
What does the NPM MCP Server do?
It fetches and returns structured metadata about npm packages, either by searching for a single package or by listing the 10 most popular packages.
How do I install the NPM MCP Server?
You can install it automatically via Smithery (npx -y @smithery/cli install @mateusribeirocampos/npm-mcp-server --client claude) or manually by cloning the repository, running npm install, then npm run build and npm start.
What data does the searchNpmPackage tool return?
It returns the package name, latest version, description, author, homepage URL, repository URL, and a list of dependencies.
What is the resource URI for popular packages?
The resource URI is npm://popular. Accessing it returns the top 10 npm packages sorted by popularity, each with name, description, and version.
Can this server be used with AI models?
Yes, it is designed for integration with AI models to get package information, compare versions, analyze dependencies, find alternatives, and obtain quick summaries.
