"Resources and Information on Web Development" matching MCP servers:

Bridges the ChatGPT web UI to a local development environment over MCP, letting the model read and patch files, run real shell commands and terminals, execute tests, and control the desktop (screen, mouse, keyboard, clipboard) within user-approved folders. It adds parallel workers, goal/loop long-task control, plugin tools, and a security-hardening layer with risk-tiered shell policy, audit logging, and credential sanitization.

Connects ChatGPT to local files, terminals, and the desktop through MCP with Chrome integration, letting users read and edit project files, run commands, and follow tool results as they arrive. It also adds durable multi-agent workers, Goal/Loop task tracking, mid-task corrections, and Compact & Resume for carrying session and worker history into a fresh chat.

Enables ChatGPT's web interface to operate a real Mac by executing shell commands and reading or writing files over a reverse SSH tunnel, without installing a client or consuming API quota.

Enables ChatGPT web to use local tools like file reading, command execution, and patch application through an MCP server over OpenAI Secure MCP Tunnel.

MCP server that provides AI access to a local terminal, enabling command execution, directory navigation, and system operations with persistent session state.

Enables ChatGPT to work with a local Windows development environment through MCP, including file and code operations, terminal commands, Git, browser and desktop automation, and task-specific skills. Also supports long-running task management and isolated account workspaces.

MCP server for agentic-first PDF review of LaTeX papers, enabling commenting, compiling, and visual inspection via Claude Code.

Centralized MCP server that provides standardized development workflow commands to Cursor AI, auto-detecting project type (Laravel, Next.js, Flutter, Architecture) and offering relevant commands for implementation, testing, and commits.

Enables natural language command control of robots via ROS2, with a web portal for real-time visualization and interaction.

Gives ChatGPT hands-on control of a local machine: reading, patching and executing code in approved project folders, running real interactive processes, managing plans and worker sub-chats, and driving the browser or desktop through user-granted permissions. Every capability is a switch inside an approved-folder sandbox, so nothing runs that the user did not explicitly enable.

Enables control of Matter smart-home devices via REST and MCP APIs, supporting lights, sensors, and AC units with federation capabilities.

A self-hosted OAuth MCP server that connects ChatGPT developer mode to an isolated coding workspace for listing and opening projects, reading and editing files, running shell commands, and observing or acting on terminal sessions.

Enables AI assistants to interact with serial port devices by sending commands, capturing output, and managing connections, with real-time browser-based terminal monitoring.

Enables a Claude Code cloud session to run shell commands inside a chroot jail on your own computer and to call the MCP servers already installed there, with every request authenticated and relayed over a Cloudflare quick tunnel so no router port is opened and no SSH key or tunnel is ever handed to the cloud VM.

Enables ChatGPT to work on a local project by reading and editing files, running shell commands, keeping terminals and desktop sessions open, and splitting work across durable workers whose context persists between tasks. Long-running work can be steered mid-flight, tracked with Goal, and carried into fresh chats via Compact & Resume.

Lets ChatGPT work directly on a local project by reading and editing files, running shell commands and tests, keeping terminals open, and using the user's desktop, all paired with an approved workspace folder. It also splits independent jobs across persistent workers that retain context, while riding the user's existing ChatGPT plan rather than Codex quota.

Enables AI clients to securely execute remote commands and transfer files over SSH through standardized MCP tools, with multi-host management, flexible authentication, and an admin console.

Enables AI agents to control the H3C HCL network simulator through MCP, including creating topologies, adding/starting devices, wiring links, reading console output, and running CLI commands.

Enables cloud AI agents to safely work on a Mac through MCP-style JSON-RPC by providing approval-gated command execution, jailed file access, signed requests, and a tamper-evident audit log. Risky actions require on-device approval, while files remain confined to a chosen folder with recoverable writes and deletions.

Enables file operations and bash command execution on the local workspace, securely exposed to ChatGPT via OpenAI Tunnel.

Combines KC Chat Panel session interaction with AgentDock computer control tools, enabling Cursor Cloud Agent to chat and operate the local machine via AgentDock.

Enables agents to discover and inspect an installed qxctl command registry, run read-only operations, and preview/apply explicitly enabled administrative actions while preserving native authority, receipts, and recovery rules.

A governed MCP server for digital-forensics and incident-response (DFIR) work, exposing curated forensic tools (Volatility 3, Plaso, RegRipper, etc.) through a single FastMCP HTTP endpoint with bearer-token authentication and tamper-evident audit logging.

A lightweight MCP server that enables AI assistants to execute local development tools and retrieve system status with low latency over stdio or HTTP.

A production-ready MCP server that enables AI assistants to execute shell commands, manage files, monitor system resources, and automate complex workflows with advanced features like stock tracking and web automation.

Enables AI assistants to understand lab topologies, follow operational principles, and interact with real network devices through observable terminals while keeping private access information hidden.

Lets Claude manage tmux sessions on Linux — start long-running ML training jobs, check their output, send keystrokes, and kill them.

Cognitive security for AI-assisted development, preventing dangerous commands and large AI code rewrites when fatigued.

MCP server exposing qbit_manage's Web API as tools, so an LLM can read and manage a qbit_manage instance: run maintenance commands on qBittorrent torrents, manage config files, scheduler, logs, security settings, and system state.

Cross-platform MCP server for policy-controlled command execution on Linux and Windows, with no SSH dependency.

Exposes a Kubernetes cluster to MCP-compatible AI clients, enabling read-only and optional write operations on cluster resources like pods, deployments, and namespaces through natural language.

Enables AI assistants to manage remote servers via SSH with 14 commands for execution, file transfer, auditing, and monitoring.

Made for Amiga development: an AI agent builds on the PC and tests on a real Amiga (AmigaOS 2.04+, any 68000) or FS-UAE over the network. Run commands, copy files, take screenshots, drive mouse and keys, click buttons and pick menus by name (MUI, ReAction, GadTools), wait for windows instead of guessing, send ARexx, and check a PiStorm’s temperature or the last crash. 30 tools.

A production-grade TypeScript starter for building Model Context Protocol servers, supporting stdio and Streamable HTTP transports with modular tools, resources, and prompts.

MCP server that gives AI coding agents hands, eyes and a mechanic's ear for React Native development.

A minimal MCP server that exposes a single tool to query local hardware information (OS, CPU, memory, architecture).

Sandboxed Bash for Agents. Full state capture on every command.

Stateful, structured, safe shell sessions for AI agents, on real infrastructure.

A unified CLI, web dashboard, and Python API for SLURM job management.

An MCP server that reports on and manages systemd services using systemctl and journalctl, enabling service listing, status, logs, and control operations.