"Cómo ver errores y advertencias en Visual Studio Code" matching MCP servers:

Studio MCP transforms any CLI command into an AI tool by using a simple template syntax to define input schemas and arguments. It enables AI agents like Claude and Cursor to execute local scripts and system commands through a dynamically generated Model Context Protocol server.

Enables stateless, pure-visual control of Android devices and emulators through adb shell, providing screen capture, coordinate-based taps, swipes, keyboard input, and arbitrary adb command execution for agent-driven interaction.

Enables AI agents to interact programmatically with Claude Code CLI, managing sessions, streaming outputs, and handling permission requests.

Enables LLM clients to slice, paint, and verify 3D prints through the installed slicer's command line for any installed Bambu printer, nozzle, and filament, with settings per object type. It never sends jobs to a printer.

Creates short-lived, offline JavaScript sandbox containers for safe code execution via MCP, with no network access and strict resource limits.

Enables file reading with pagination and regex-based code search across a codebase using grep.

Delegates coding tasks to the local Claude Code CLI via MCP, offering run, review, and status tools for MCP-compatible agents.

Enables a Claude Desktop or Claude Code session to start, drive, and supervise interactive Claude Code CLI worker runs, including sending prompts, reading terminal output, waiting for completion, stopping runs, and managing settings and permissions.

MCP server for Decky Loader plugin development, providing tools to build, deploy, debug, and capture screenshots/recordings on a Steam Deck via commands like deck.deploy and deck.captureScreenshot.

Provides a secure interface to run Anthropic's Claude Code CLI as an MCP server, enabling task execution, persistent memory, and integration with MCP-enabled IDEs.

Enables AI assistants to execute code in isolated sandboxes with support for Python, JavaScript, and TypeScript, featuring intelligent caching and semantic search for code reuse.

Provides a sandboxed Docker environment for executing Python code against API endpoints, exposing tools for discovery, inspection, execution, and reuse.

MCP server that routes Claude Desktop chat into Claude Code, enabling headless execution and terminal handoff with session continuity.

Enables an AI assistant to operate a Linux machine through tools for files, search, shell commands, long-running processes, git, desktop control, screenshots, and local spreadsheets.

An MCP server that allows Claude Desktop to remotely control Claude Code instances for executing commands and managing files.

A transparent message ferry between Claude Desktop and Claude Code CLI, enabling task delegation with any MCP configuration without the bridge needing to know about specific MCPs.

This server gives AI clients a persistent, isolated Linux container in which the model can run any bash command as root with internet access, install packages and start long-running processes without command filtering. Files produced inside it can be handed back to the user as signed, expiring public download links suitable for PDFs, images, audio and video.

Enables AI agents to execute terminal commands and Python code on the host system with session management and smart output handling, leveraging Agent Zero's proven implementation.

Enables ISLI agents and MCP clients to dispatch natural-language coding and terminal tasks to a locally-installed Claude Code CLI, supporting both one-shot execution and persistent sessions with workspace and security controls.

Enables programmatic execution of coding tasks and autonomous file operations using Claude AI. It allows agents to search codebases, run shell commands, and track file changes through the Model Context Protocol.

Connects Windows-based Codex to the Cursor Agent CLI in WSL, providing a run_cursor tool to execute tasks in specified working directories and resume sessions per directory.

A stdio MCP server that lets Codex Desktop/CLI delegate implementation tasks to Claude Code CLI with workspace validation, Git status checks, and session resume capabilities.

Enables AI assistants to interact with and manage Minecraft servers through a standardized interface, supporting server monitoring, player management, log analysis, and command execution.

Provides AI assistants with VS Code integration for file operations, command execution, project analysis, and development workflow automation.

Enables ChatGPT to work directly on local projects by reading files, editing code, running tests and commands, inspecting Git state, and managing durable workflows, with optional delegation to local Codex agents for complex tasks.

Enables MCP clients to load and edit saved 3MF projects, adjust slicer settings, and regenerate G-code using an explicitly bound installed native slicer engine.

Enables a coding-agent session to exchange messages with another machine's session over SSH, returning replies and maintaining per-peer conversation history across calls without a cloud relay or extra API keys.

Enables managing GNOME Boxes virtual machines through libvirt/virsh, including lifecycle operations, snapshots, screenshots, and capability-gated keyboard, mouse, clipboard, and drag-and-drop interactions.

Enables MCP clients such as OpenCode, Claude Code, and Codex to control a real VS Code editor by opening files, visibly typing code, running terminal commands, reading diagnostics, and fixing errors through the VS Code API. It makes AI programming observable by applying real progressive edits and actions that are visible on screen.

Enables users to test MCP clients, verify connectivity, perform simple addition, and exercise error handling through exposed echo, add, and boom tools.