"Progress" matching MCP servers:

An MCP server for creating and managing shared terminal progress bars from AI agents, enabling real-time tracking of parallel tasks.

Enables Windows users to connect Antigravity CLI as an MCP subagent for coding tasks such as file reading, code execution, edits, and terminal commands, with model selection, conversation continuity, and streaming progress.

Lets Codex delegate tasks to the Google Antigravity CLI (agy) with background job execution, live progress tracking, a visual dashboard, and structured error diagnostics.

Enables AI assistants to run long shell commands as background tasks, with survival across restarts, live progress peeking, and command allow/deny policies.

Enables interaction with Gradle projects through the Gradle Wrapper, allowing users to list projects and tasks, execute builds, run tests, and clean artifacts with real-time progress reporting and comprehensive error details.

Enables an interactive, gamified coding tutor that executes commands, provides lessons with explanations and quizzes, and tracks progress through levels and streaks, optionally with voice narration.

SSH MCP Server - AI manages remote servers via SSH. Multi-server, SFTP zero-token transfer, SOCKS5 proxy, jump host, 2FA, async transfer with progress.

A download manager for humans and AI with a native MCP server: add_task, list_tasks, wait_for_task with progress notifications from any MCP host. Multi-threaded multi-mirror HTTP, BT/magnet, 1000+ video sites (yt-dlp), RSS, token-secured remote Web UI. ~8MB, open source.

MCP server for remote machine operations via SSH, providing a single tool to execute any shell command on remote machines with real-time progress streaming.

Automates AWS EBS volume initialization via AWS Systems Manager, supporting multi-instance parallel execution and real-time progress tracking.

An MCP server for spawning and managing bash commands asynchronously. Run multiple shell commands in parallel and check their progress independently.

Enables AI agents to launch, monitor, and manage background shell jobs with durable event tracking, live progress dashboards, and wake-on-attention for interactive sessions.

Provides tools for executing shell commands both synchronously and asynchronously with real-time output streaming and process management capabilities. It enables users to start background tasks, monitor progress, and manage long-running processes via Stdio or HTTP transports.

Enables running aider as a detached background process with git and file tools, allowing LLMs to start code editing processes and check progress asynchronously for agentic swarm behavior.

Enables AI agents to develop within a local project workspace by reading and modifying files, running commands and tests, checking Git state, and persisting progress as history sessions that can be restored in later conversations.

Filters verbose terminal output from commands like npm install, pip install, docker build, and pytest, reducing context token consumption for AI agents by condensing logs, removing progress bars, and grouping repeated warnings.

An MCP server that provides session-based shell command execution and file management with intelligent LLM-powered summarization. It enables users to manage isolated workflows and track progress through automated event logging and session history.