Automic VaultAutomic Vault

brew

使用 Homebrew, Nix, scoop 安装 mongosh

查看 mongosh 的安装路径、可执行文件、元数据以及面向 AI 代理工作流的安全说明。

安装

其他安装命令

macOS

Homebrew已验证 · 100%
brew install mongosh

local Homebrew formula metadata

Linux

Nix已验证 · 92%
nix profile install nixpkgs#mongosh

nixpkgs package indexes · pkgs/by-name/mo/mongosh/package.nix · 来源: api.github.com

Windows

Scoop已验证 · 92%
scoop install extras/mongosh

Scoop official bucket manifest trees · bucket/mongosh.json · 来源: api.github.com

概览

软件包摘要

MongoDB Shell to connect, configure, query, and work with your MongoDB database

命令和别名

  • mongosh

历史

项目历史与用法

mongosh is the MongoDB Shell, MongoDB's modern JavaScript and Node.js REPL for interacting with MongoDB deployments in Atlas, local installations, or remote hosts. MongoDB introduced the first preview on 2020-06-08 after deciding that extending the legacy mongo shell was not the right path for a growing MongoDB platform.

项目历史

The redesign focused on a shell that could be extensible, embeddable in other products, and easier to use in terminals. The public changelog records mongosh v1.0 on 2021-07-09, after a preview series that added features such as transactions support, AWS IAM authentication, script loading, --eval, .mongoshrc.js customization, MongoDB 5.0 support, Stable API-aware autocomplete, and snippets. The GitHub repository is a monorepo for shell components across REPL, browser, Compass, and related environments.

使用方式

Users run mongosh to test queries, inspect and change data, configure settings, and script database operations with shell helpers on top of the MongoDB driver. MongoDB distributes it as an Apache-2.0 standalone product separate from the MongoDB Server, and package managers such as Homebrew, Nix, and Scoop make it available independently from server releases.

安全态势

风险级别:yellow

broad file, network, media, or database tool signal. generalized runtime or code generation signal.

风险分类器

yellow 风险 · 中 置信度 · runtime

原因

  • broad file, network, media, or database tool signal
  • generalized runtime or code generation signal

信号

  • text:database
  • text:shell

安装行为

  • formula 元数据中未记录 Homebrew post-install 钩子。
  • Homebrew bottle 元数据适用于 6 个平台目标。
  • 安装时包含 1 个运行时依赖。

建议审查

在无人值守的代理使用前,请检查该工具是否读取明文凭据、写入远程状态、发布制品或调用插件。

可执行文件

已安装的可执行文件

命令类型暴露范围备注
mongoshcli全局可执行文件

新鲜度

版本和新鲜度

这些信号区分页生成时间、软件包管理器活动和上游发布比较。只有存在证据 URL 和可比较版本时,才会提示版本落后。

页面生成时间2026-07-25
管理器版本2.9.2
管理器更新时间2026-07-20
本地数据OK
上游not checked
检测到的最新版本未检测到

https://www.mongodb.com/try/download/shell

安装元数据

软件包元数据

软件包键brew:mongosh
版本2.9.2
软件包管理器Homebrew
软件包管理器页面https://formulae.brew.sh/formula/mongosh
主页https://www.mongodb.com/try/download/shell
仓库https://github.com/mongodb-js/mongosh
上游文档https://www.mongodb.com/docs/mongodb-shell
许可证Apache-2.0
源码归档https://registry.npmjs.org/@mongosh/cli-repl/-/cli-repl-2.9.2.tgz
最后更新2026-07-20T13:51:29-04:00
Pulseupdated
依赖node
Bottle可用 (于 arm64_linux, arm64_sequoia, arm64_sonoma, arm64_tahoe, sonoma, x86_64_linux)
Homebrew post-install未定义
服务未声明

注册表事实

源数据库详情

Source DatabaseHomebrew formula API
Taphomebrew/core
Full Namemongosh
Version Scheme0
Revision0
Bottle Stable Root URLhttps://ghcr.io/v2/homebrew/core
Deprecatedno
Disabledno
Keg Onlyno
URL Keys
  • stable

源数据库匹配

其他软件包管理器记录

匹配项来自外部软件包管理器索引,并与本地 Automic Vault 软件包链接分开显示。

Nix95%

mongosh

nix profile install nixpkgs#mongosh
  • normalized package name match
  • 匹配方式:Mongosh
nixpkgs package indexes · api.github.com · nixpkgs package indexes: pkgs/by-name/mo/mongosh/package.nix from https://api.github.com/repos/NixOS/nixpkgs/git/trees/master?recursive=1
Scoop95%

extras/mongosh

scoop install extras/mongosh
  • normalized package name match
  • 匹配方式:Mongosh
Scoop official bucket manifest trees · api.github.com · Scoop official bucket manifest trees: bucket/mongosh.json from https://api.github.com/repos/ScoopInstaller/Extras/git/trees/master?recursive=1

来源线索

由仓库数据生成

此页面由 av-webscripts/generate-pkg-sqlite.py 生成的私有软件包 SQLite 工件提供。

使用的来源

  • Geiger risk classifier
  • Nucleus package database
  • av.db category and tag curation
  • cross-ecosystem install command graph
  • curated package history
  • external package-manager database matches
  • package relationship graph
  • package version freshness
  • package-page enrichment