"Noun Project" matching MCP servers:

An MCP server that provides sandboxed shell command execution with configurable security policies, enabling safe AI-assisted command runs within a project repository.

Enables AI assistants to execute shell commands safely within registered project roots, with blocking of dangerous operations, output filtering, and log inspection.

Enables Claude to manage multiple SSH connections, execute remote commands, and transfer files across servers. Supports secure authentication, default directories, sudo operations, and deployment automation with profiles for different project types.

Cross-platform command execution server that intelligently adapts shell commands to the operating system and detects project-specific package managers (npm/bun, pip/poetry), with runtime-editable command mappings per project.

An MCP server for RollDev and Magento 2 development environments that enables LLMs to manage project environments, execute SQL queries, and run PHP or Magento CLI commands. It supports automated project initialization, Composer integration, and system service control directly through natural language.

A desktop launcher and local MCP workspace server that enables ChatGPT and other MCP clients to securely read, edit, search, run commands, and show changes in selected local project folders.

Enables Claude AI to run terminal commands, perform file operations, and manage git in a project directory via the Model Context Protocol.

An MCP server that bridges ChatGPT Web Pro to local tools, enabling file read/write, shell command execution, git operations, and search within a specified project directory.

Enables AI tools like Claude Code to deploy projects to multiple servers via SSH with zero installation on target machines. Supports server onboarding, project management, and one-click deployment through MCP tools.

Bridges ChatGPT with local computer for controlled file and project management, featuring session-based collaboration and diff tracking.

Exposes a local development project as a secure MCP server over a stable HTTPS URL via Cloudflare tunnel, with configurable access permissions and 33 development tools for file, command, Git, and process operations.

A self-hosted MCP server that gives ChatGPT full local machine access for coding tasks, including file editing, shell commands, git operations, and project exploration via 40+ MCP tools.

Enables ChatGPT to securely access project files and directories, read and write text files, and run allowlisted PowerShell commands on a Windows machine through an OpenAI Secure MCP Tunnel.

Enables AI assistants to perform operations on remote servers by reusing SSH sessions from a local desktop app, including command execution, file upload/download, and project document management with security controls.

Serves a local dsh workspace as a protected Streamable HTTP MCP endpoint, letting authenticated web AI agents read, search, patch, inspect, and operate the project, with optional shell commands, LSP support, and public tunneling.

This project implements a customizable MCP server to execute RTE protocol. The intention of this project is to be easily extensible. You can add your own MCP tools by using RteUtils class. Also is needed to define the RTE connection parameters and the RTE flow in a yaml format.

A local MCP runtime for macOS and Windows that enables ChatGPT to read, edit, search, run tests, and capture screenshots in your local project folder while keeping your source code on your machine.

Enables MCP clients to execute commands, edit files, run Git workflows, and perform validated independent reviews in real development environments through Docker-based runtimes with separated developer and auditor permissions.

Enables ChatGPT to inspect and manage approved local project folders, read files, propose edits, patches, and deletions, run shell commands subject to approval, and track jobs and tasks through MCP. It provides controlled access to local project files and execution results on macOS.

Enables ChatGPT on Windows to securely access codebases, Git, terminals, language servers, debuggers, SQLite, local HTTP services, adaptive project memory, engineering skills, checkpoints, audit logs, and sandboxed command execution through MCP tools.