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    More than just an MCP server that covers the entire range of Docker management tasks, it helps you create workflows to easily manage your Docker environments at scale. It allows you manage multiple local or remote (TCP, TLS, SSH) docker instances and exposes things like logs and stats as resources so that you can monitor and triage all of them.
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    165
    486 PyPI
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    MIT
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    An MCP server that enables agents to run commands interactively in live terminal panes a user can watch and type in, and to list, create, read from, and send keys to any session, window, or pane.
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    MIT
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    agentic_ssh is written in Rust and specifically engineered to provide agent-hardened, token-efficient, and asynchronous SSH orchestrations for AI agents. It automatically discovers hosts from your local SSH configurations, manages connection heartbeats, handles silent network dropouts, and supports detached background job scheduling with isolated session logging
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    Apache 2.0
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    Provides transactional intelligence for AI agents, enabling safe tool execution with pre-flight invariant checks, sub-second filesystem snapshots/rollback, causal tracing, belief contradiction detection, and 15 native MCP tools for Claude Code.
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    MIT
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    An MCP server that provides full control over iTerm2 terminal sessions on macOS. It enables users to manage windows, tabs, and panes, run commands, read screen content, and interact with terminal sessions through Claude.
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    Enables AI agents to read tmux pane content on-demand, providing context-aware assistance during interactive terminal sessions.
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    MIT
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    Runs as an MCP server providing file system operations, shell execution, and system information tools, allowing Claude or any MCP client to edit files and control the machine.
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    MIT
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    Enables natural language SSH server management via Claude Code, allowing users to read logs, check services, run commands, and transfer files across multiple servers.
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    MIT
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    Bridges a remote, cloud-hosted agent to your local machine, exposing Pi's coding tools (read, write, edit, ls, grep, find, bash, powershell) rooted at a directory you choose. It also adds a human channel so the agent can message, question, and wait on you through tool calls instead of a platform chat UI, with OAuth 2.1 or bearer-token authorization and no persistence between runs.
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    Apache 2.0
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    A comprehensive MCP server that enables AI models to perform local file operations, command execution, and task management across multiple platforms. It features advanced capabilities like row-level file editing, directory searching, and system monitoring with built-in security filters.
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    13 npm
    Mulan Permissive Software , Version 2
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    Enables AI assistants to perform web content discovery scans using feroxbuster on a remote system via SSH, with support for recursive scanning, filtering, and background execution.
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    MIT
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    An MCP server that provides tools to interact with CLI applications, enabling process management including start, stop, check status, send input, and read output.
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    Pre-alpha P2P remote-control app with a local stdio MCP bridge for paired computers. Users build from source; platform support and host-side approvals apply.
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    AGPL 3.0
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    Enables Claude Desktop to interact with and view tmux session content, allowing AI assistants to read from, control, and observe terminal sessions.
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    224 npm
    306
    MIT
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    Enables coding agents to work on the MUSICA supercomputer without hand-written ssh and sbatch by providing tools to sign in, run light commands, draft, check, submit, wait for, and read jobs, move files, and monitor budgets, while enforcing runbook rules and human approval for expensive or destructive actions.
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    MIT
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    The Problem Modern distributed systems and AI agents require robust operational scaffolding. Simple CRUD apps or mock loops fail when subjected to real-world edge cases, asynchronous boundaries, and security constraints. The Solution An isolated execution platform for AI agents. An agent is given a broken service and a bounded toolset inside a disposable sandbox. Every command passes throug
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    MIT
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    Gives MCP-compatible AI agents a full local terminal over stdio, enabling shell command execution, file reads and writes, content search, background processes, and stateful tmux sessions with variable capture, auditing, and a configurable command denylist. Requires no deployment or cloud setup.
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    MIT
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    Enables any MCP-compatible AI, whether in the browser or running locally, to create and edit projects, run terminal commands and long-running jobs, and optionally use Docker, all guarded by a policy engine, workspace jail, authentication, and audit logging.
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    MIT
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    ai-runtime-guard is an MCP server that sits between your AI agent and your system, enforcing a policy layer before any file or shell action takes effect. No retraining, no prompt engineering, no changes to your agent or workflow, just install, configure once, and your agent operates within the boundaries you set.
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    28 PyPI
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    MIT
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    Enables running planned batches of shell commands in parallel locally or over SSH, with dependency ordering, timeouts, cancellation, and per-task result collection.
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    MIT
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    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.
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    26 npm
    MIT