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gethshap

Windows Telnet MCP

by gethshap

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      Enables an AI agent to control a genuinely visible Windows terminal window by spawning it, sending keystrokes, reading the rendered console buffer, and closing it so a human can watch every action in real time.
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      Enables AI agents to drive genuine interactive Windows console sessions through ConPTY, so they can launch PowerShell, pwsh or CMD, send keystrokes, answer prompts, watch rendered screens and block until output matches. Multiple persistent shells can run in parallel, supporting live input, incremental reads, interrupts and window resizing.
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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.
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      13
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    • A
      license
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      quality
      B
      maintenance
      Enables AI assistants to launch, drive, and verify Terminal User Interface applications by sending keystrokes and control combinations, capturing screen output, asserting text at exact coordinates, inspecting per-cell colours and cursor position, resizing live sessions, and rendering screenshots or GIFs. Supports multiple concurrent sessions in stream mode for CLI tools or buffer mode for full-screen ncurses-style apps.
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    TDQS

    A3.9/5.0

    Scored across 10 tools

    Disambiguation5/5

    Each tool targets a distinct operation: status/check/list cover different aspects of session state and capability, while read/wait_for_text/send/key separate reading, polling, text injection, and named key injection. There is no meaningful overlap that would confuse an agent.

    Naming Consistency5/5

    All tools share a consistent telnet_ prefix followed by a clear verb or verb phrase, such as start, close, send, read, list, and wait_for_text. The naming pattern is uniform and predictable across the entire set.

    Tool Count5/5

    Ten tools is well-scoped for controlling a visible Windows Telnet client: session lifecycle, I/O, waiting, focusing, and diagnostics are all represented without unnecessary duplication. Each tool contributes a distinct capability.

    Completeness5/5

    The toolset covers the full interaction lifecycle: starting a session, connecting, sending input, reading output, waiting for expected text, sending special keys, listing sessions, checking readiness, focusing, and closing. No obvious gap prevents an agent from automating a Telnet workflow.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues