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URL: https://glama.ai/mcp/servers/integrations/zsh

⇱ Zsh | Glama


  • Why this server?

    Enables execution of commands through the ZSH shell with security controls for running terminal commands on macOS

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    An MCP server that allows secure execution of macOS terminal commands through Claude or Roo Code with built-in security whitelisting and approval mechanisms.
    Last updated
    8
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    MIT
  • Why this server?

    Provides access to Zsh shell configuration options in Home Manager, allowing AI assistants to search and retrieve information about Zsh settings.

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    MCP-NixOS is a Model Context Protocol server that provides real-time, accurate information about NixOS packages, options, Home Manager, and nix-darwin configurations, preventing AI assistants from hallucinating about NixOS resources and enabling them to deliver factual system configuration guidance.
    Last updated
    2
    684
    MIT
  • Why this server?

    Supports executing commands specifically in the Zsh shell, enabling the use of Zsh-specific features and syntax when desired.

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    A server that uses the Model Context Protocol (MCP) to allow AI agents to safely execute shell commands on a host system.
    Last updated
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    172
    8
    MIT
  • Why this server?

    Allows management of Zsh shell configuration (e.g., .zshrc), merging team shell aliases and PATH additions with personal settings.

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    MCP server for AI-merge of team dev configurations, allowing the IDE's LLM to intelligently merge team configs with personal configs.
    Last updated
    9
    MIT
  • Why this server?

    Reports on Zsh shell installation, configuration files, and customizations.

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    An MCP server that provides detailed information about your development environment to the Cursor code editor, enabling more context-aware assistance.
    Last updated
    7
    MIT
  • Why this server?

    Supports reading command history from Zsh, allowing users to access and search their Zsh command history through the MCP interface.

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    A powerful tool for exploring, searching, and managing your shell command history through the MCP (Model Control Protocol) interface. This project allows you to easily access, search, and retrieve your previously executed shell commands.
    Last updated
    2
    MIT
  • Why this server?

    Mentioned as a target shell profile for configuring environment variables needed for sub-query backends when MCP clients don't reliably pass environment configuration.

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    Enables AI assistants to analyze documents larger than their context window by loading files into RAM and querying them via search, navigation, and Python execution tools. Supports recursive reasoning to process massive datasets in chunks using sub-agents.
    Last updated
    203
    MIT
  • Why this server?

    Provides the capability to execute asynchronous Zsh commands on a remote Mac, returning standard output, standard error, and exit codes for system interaction and automation.

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    Enables AI services like Claude and Cursor to remotely control a Mac by executing shell commands, managing files, and running AppleScript for UI automation. Access is secured through OAuth 2.0 authentication and encrypted tunnels to protect remote interactions.
    Last updated
    2
    MIT
  • Why this server?

    Specifically parses and indexes Zsh scripts, recognizing function boundaries to provide relevant automation context to AI agents.

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    The open retrieval layer for AI agents. Index your entire project — code, docs, legal, research, data — and serve surgical context via MCP. FTS5 full-text search, optional semantic search (FastEmbed/ONNX), 10 built-in parsers, incremental auto-sync.
    Last updated
    15
    MIT