"Understanding Vite running status in terminal commands" matching MCP servers:

An MCP server that lets you define and run custom shell commands via YAML templates, with built-in tools for flashing and serial communication in embedded development.

Enables AI agents to maintain persistent, inspectable understanding through typed, revisable updates, and to coordinate multi-agent work via shared graph-based stigmergy.

Provides AI agents with real-time ground truth about what's actually running on the machine, including live agent sessions, listening TCP ports, loaded daemons, and system stats. It reads directly from the OS via fixed commands, ensuring agents never rely on stale docs or transcripts.

MCP server for executing shell commands with automatic RTK token reduction, persistent caching, and execution logging.

Saves the user's exact words as immutable, SHA-256-hashed captures before anything else, then derives events, entities, context cards, and causal hypotheses — every fact traceable to its verbatim source. Local-first personal memory for Claude Code, Codex, and any MCP client.

An MCP server to run commands.

Enables monitoring of Ubuntu system metrics, Docker containers, and public IP drift, with Feishu alerting and HTTP/MCP tools for querying status, viewing history, and restarting containers.

Enables AI assistants to execute predefined developer commands and manage long-running processes through a JSON configuration file. Supports both one-shot commands and daemon processes with automatic process lifecycle management.

Enables conversational analysis of n8n workflows and Make scenarios for silent-failure risks, with tools to explain findings, compare workflow versions, and list rules.

Provides MCP tools to get a single-call snapshot of git and GitHub Actions CI status across all repositories in a folder, flag missing or stale architecture docs, write doc files, and detect release drift between source and release repositories.

Enables management of visible, interactive terminal sessions across platforms (macOS, Windows, Linux, WSL). Supports creating, executing commands, capturing output, and managing multiple terminal windows simultaneously.

Give AI agents a persistent, interactive terminal with support for SSH, REPLs, database CLIs, TUI apps, and long-running processes.

MCP server to check GitHub Copilot quota, rate-limit status, and reset times from any MCP client.

Daily-refreshed Glama TDQS score tracker for any MCP fleet. Scrapes per-tool grades from glama.ai, stores in SQLite with snapshot history and delta tracking, surfaces via MCP tools, Prefab cards, a 6-page web dashboard, and an LLM-powered chat interface.

Enables local video inspection and offline transcription with timestamped JSON and Markdown output, enforced filesystem boundaries, and reproducible content-addressed caching.

Aggregates status of multiple SaaS providers into a single MCP server, enabling AI agents to check service health and incidents via tools like list_services, get_status, and check_all.

A VSCode and Cursor extension that captures real-time terminal output and exposes it to AI assistants via the Model Context Protocol. It enables agents to proactively monitor logs, command execution, and errors without requiring manual copy-pasting from the user.

Enables Claude to execute PowerShell commands and scripts in a persistent interactive terminal on Windows, with real-time output streaming to a web terminal.

An MCP server that bridges AI assistants to real terminal sessions, enabling creation, management, and interaction with persistent PTY processes for running commands, monitoring output, and debugging.

Execute commands on remote Linux servers through Claude with an interactive web terminal showing full output while Claude receives smart-filtered summaries for token efficiency. Supports multi-server management, SFTP file transfers, batch scripts, and automation recipes.