"pnpm" matching MCP servers:

Audits npm packages for supply-chain attacks (typosquatting, malicious install scripts, credential exfiltration) before installation, returning a SAFE/SUSPICIOUS/DANGEROUS verdict.

An MCP server for searching, inspecting, and evaluating NPM packages through health scoring and license risk assessments. It provides comprehensive package analysis including maintenance status, popularity trends, and security vulnerability reports to help users make informed dependency decisions.

Enables AI-powered JavaScript package management including search, install, update, remove, and security auditing across npm, yarn, and pnpm.

MCP server that provides npm package information for AI agents during TypeScript development.

MCP server providing npm registry search, package details, dependency auditing, bundle size estimation, and package comparison tools for AI agents.

A Model Context Protocol (MCP) server that provides AI assistants with access to SonarQube code quality, security, and project analytics data.

A Model Context Protocol server that enables AI-powered analysis of NPM packages through multiple tools for security vulnerability scanning, dependency analysis, package comparison, and quality assessment.

MCP server for npm — search packages, check bundle sizes, scan vulnerabilities, compare downloads, inspect dependencies.

Enables MCP-compatible AI applications to perform read-only npm package and project dependency safety scans, returning proceed, caution, or block verdicts without executing package code.

Enables auditing package.json files for real npm supply-chain attack mechanisms — typosquatted dependency names, malicious preinstall/install/postinstall scripts that pipe downloads into a shell or decode base64 payloads, and unpinned versions — plus live npm registry lookups that flag nonexistent, brand-new, deprecated, or typosquatted packages. It exposes dedicated tools for full manifest audits and single-name typosquat checks.

Provides comprehensive Python code refactoring capabilities including AST-based analysis, automated refactoring, and performance optimization through the Model Context Protocol.