# Package management

mcp_ctl is a powerful package management tool for MCP (Model Context Protocol) servers, supporting installation, deletion, searching, and listing of servers. It provides cross - platform support and lightweight, efficient management.

MCP Control is a cross - platform package management tool designed for managing MCP servers. It supports Windows, macOS, and Linux, and provides a simple command - line interface and an automated update function.

An MCP server for executing Python code and managing Python packages, providing a secure execution environment, package management, resource monitoring and other functions

A command-line tool for managing MCP servers in the Claude App, supporting functions such as server addition, deletion, enabling/disabling, and package search and installation.

This project implements natural language interaction with Homebrew, supports core commands such as installation, uninstallation, and query, and can enable specific features through JSON configuration.

PyPI MCP Server is a middleware that provides PyPI package information query services for AI assistants. It enables functions such as searching for Python packages, accessing metadata, viewing version history, and getting download statistics through the MCP protocol.

An MCP protocol server that searches for npm packages by calling the npm search command

The Python MCP Sandbox is an interactive Python code execution tool that allows users to securely execute Python code and install packages in isolated Docker containers.

An MCP server that provides a cross - platform programming resource search tool, integrating developer platforms such as Stack Overflow, GitHub, and MDN to help LLMs find code examples, documentation, and software packages.

An MCP server that provides tools and resources for the R language tidymodels ecosystem, supporting package management, function search, code generation, and issue query functions.

Python MCP Sandbox is an interactive code execution tool that can securely run Python code and manage packages in isolated Docker containers