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⇱ MCP server for executing CLI commands and managing development servers | Glama

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MCP server for executing CLI commands and managing development servers

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  • Why this server?

    This server allows LLMs to execute shell commands and receive their output in a controlled manner, which is crucial for interacting with CLI tools and reading their responses.

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    A Model Context Protocol server that allows LLMs to execute shell commands and receive their output in a controlled manner.
    Last updated
    5
    MIT

  • Why this server?

    This server is specifically designed to execute and manage long-running shell commands asynchronously, including process monitoring and interaction, making it ideal for running and managing development servers.

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    An MCP server that enables coding agents to execute and manage long-running shell commands asynchronously with capabilities for process monitoring, interaction, and lifecycle management.
    Last updated
    7
    13
    MIT

  • Why this server?

    This server exposes `package.json` scripts (like `npm run dev`) as MCP tools, allowing AI assistants to directly run and manage development servers with natural language commands and arguments.

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    Exposes your project's package.json scripts as MCP tools, allowing AI assistants to discover and execute npm/yarn/pnpm/bun scripts directly. Automatically detects your package manager and enables running scripts with optional arguments through natural language commands.
    Last updated
    5
    95
    3
    MIT

  • Why this server?

    This server enables AI models to fully interact with any console application, monitor its output, detect errors, and automate terminal workflows, which is highly relevant for managing and reading from development servers.

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    Enables AI assistants to fully interact with console applications, monitor output, detect errors, and automate terminal workflows across multiple sessions. Similar to how Playwright works for web browsers but for command-line interfaces.
    Last updated
    138
    38
    MIT

  • Why this server?

    This server specializes in monitoring and analyzing local application log files in real-time, providing crucial functionality for reading output and debugging from running development servers.

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    Enables monitoring and analysis of local application log files with real-time tailing, error tracking, and search capabilities. Perfect for debugging Node.js applications, web servers, or any application that writes to log files through natural language commands.
    Last updated
    6
    4
    MIT

  • Why this server?

    This server is designed to monitor development server logs in real-time, providing immediate error notifications and intelligently parsing common development errors (TypeScript, Svelte, Vite).

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    Monitors development server logs in real-time and provides Claude with immediate error notifications via Server-Sent Events. Intelligently parses TypeScript, Svelte, and Vite errors with severity classification and file correlation.
    Last updated
    9

  • Why this server?

    This server allows the Claude desktop app to execute terminal commands, manage processes, and edit files on your computer, offering broad control over CLI interactions and development environment tasks.

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    Allows Claude desktop app to execute terminal commands and edit files on your computer through MCP, with features including command execution, process management, and diff-based file editing.
    Last updated
    26
    27,362
    6,148

  • Why this server?

    Similar to Claude Desktop Commander, this server enables execution of terminal commands, process management, and advanced file operations on your computer via the MCP protocol.

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    A server that lets Claude desktop app execute terminal commands on your computer and edit files through Model Context Protocol, featuring command execution, process management, and advanced file operations.
    Last updated
    19
    27,362
    6
    MIT

  • Why this server?

    This server enables AI models to execute system commands on local machines or remote hosts via SSH, supporting persistent sessions and environment variables, which is useful for managing development servers.

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    An MCP server that allows AI models to execute system commands on local machines or remote hosts via SSH, supporting persistent sessions and environment variables.
    Last updated
    1
    39
    27
    MIT