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  • A
    license
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    A server that enables AI assistants to execute terminal commands and retrieve outputs via the Model Context Protocol (MCP).
    3
    26
    MIT
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    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.
    5
    1
    MIT
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    license
    A
    quality
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    Give AI agents a persistent, interactive terminal with support for SSH, REPLs, database CLIs, TUI apps, and long-running processes.
    9
    60 PyPI
    12
    MIT
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    Terminal\[X]MCP is a Model Context Provider (MCP) server that enables intelligent terminal automation through a multi-agent system with distributed specialized roles for command execution, security validation, and real-time monitoring.
    4
    8 npm
    1
    MIT
  • F
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    Enables MCP clients to observe and, when explicitly enabled, send constrained input to whitelisted tmux sessions, with support for local STDIO and loopback-only HTTP transport behind an authenticated tunnel.
    13
    -
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    A secure server for executing terminal commands within predefined paths, allowing safe interaction by Large Language Models with operating system environments.
    1
    52 npm
    18
    MIT
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    Enables Claude to execute PowerShell commands and scripts in a persistent interactive terminal on Windows, with real-time output streaming to a web terminal.
    69 PyPI
    1
    MIT
  • A
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    F
    maintenance
    Provides cross-platform terminal access through MCP, enabling AI assistants to create and manage interactive terminal sessions, execute commands, and capture visual snapshots on Windows, Linux, and macOS.
    1
    MIT
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    quality
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    maintenance
    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.
    1
    MIT
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    maintenance
    An agent-capable MCP server with terminal access, filesystem control, and persistent memory. It includes sandboxing, access control, activity logging, and a file-backed memory store for context across conversations.
    MIT
  • A
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    quality
    B
    maintenance
    Enables AI agents to spawn persistent terminal sessions, send keystrokes, read screen state, and assert output, allowing them to interact with stateful terminal applications like vim, htop, and gdb.
    25 npm
    MIT
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    MCP server enabling AI agents to interact with terminal applications through structured Terminal State Tree representation. Works with any AI assistant that supports the Model Context Protocol.
    41 npm
    21
    MIT
  • A
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    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.
    23 PyPI
    6
    MIT
  • A
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    quality
    A
    maintenance
    Enables persistent remote terminal sessions that survive dropped client connections, using pty-mcp and ai-tmux for interactive work and native OpenSSH for structured remote operations. Supports SSH config alias resolution, remote execution, file operations, and secure session management.
    8 npm
    Apache 2.0