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Gcs

作者:pulsemcp版本 0.1.14i★ –i在你的电脑上运行
注册名称com.pulsemcp/gcs

安装

概览

作者提供的说明(英文原文)

MCP server for Google Cloud Storage with fine-grained tool access control.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 其他
  • 你需要填写:GCS_PROJECT_ID, GCS_SERVICE_ACCOUNT_KEY_FILE, GCS_SERVICE_ACCOUNT_KEY_JSON

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 需要你自己填写: GCS_PROJECT_ID, GCS_SERVICE_ACCOUNT_KEY_FILE, GCS_SERVICE_ACCOUNT_KEY_JSON, GCS_BUCKET, GCS_ENABLED_TOOLGROUPS, GCS_ENABLED_TOOLS, GCS_DISABLED_TOOLS, SKIP_HEALTH_CHECKS

标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。

你需要

  • npm已安装 Node.js(用于 npx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "gcs": {
      "command": "npx",
      "args": [
        "-y",
        "gcs-google-mcp-server"
      ],
      "env": {
        "GCS_PROJECT_ID": "your-value",
        "GCS_SERVICE_ACCOUNT_KEY_FILE": "your-value",
        "GCS_SERVICE_ACCOUNT_KEY_JSON": "your-value",
        "GCS_BUCKET": "your-value",
        "GCS_ENABLED_TOOLGROUPS": "your-value",
        "GCS_ENABLED_TOOLS": "your-value",
        "GCS_DISABLED_TOOLS": "your-value",
        "SKIP_HEALTH_CHECKS": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add gcs --env GCS_PROJECT_ID=your-value --env GCS_SERVICE_ACCOUNT_KEY_FILE=your-value --env GCS_SERVICE_ACCOUNT_KEY_JSON=your-value --env GCS_BUCKET=your-value --env GCS_ENABLED_TOOLGROUPS=your-value --env GCS_ENABLED_TOOLS=your-value --env GCS_DISABLED_TOOLS=your-value --env SKIP_HEALTH_CHECKS=your-value -- npx -y gcs-google-mcp-server

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "gcs": {
      "command": "npx",
      "args": [
        "-y",
        "gcs-google-mcp-server"
      ],
      "env": {
        "GCS_PROJECT_ID": "your-value",
        "GCS_SERVICE_ACCOUNT_KEY_FILE": "your-value",
        "GCS_SERVICE_ACCOUNT_KEY_JSON": "your-value",
        "GCS_BUCKET": "your-value",
        "GCS_ENABLED_TOOLGROUPS": "your-value",
        "GCS_ENABLED_TOOLS": "your-value",
        "GCS_DISABLED_TOOLS": "your-value",
        "SKIP_HEALTH_CHECKS": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "gcs": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "gcs-google-mcp-server"
      ],
      "env": {
        "GCS_PROJECT_ID": "your-value",
        "GCS_SERVICE_ACCOUNT_KEY_FILE": "your-value",
        "GCS_SERVICE_ACCOUNT_KEY_JSON": "your-value",
        "GCS_BUCKET": "your-value",
        "GCS_ENABLED_TOOLGROUPS": "your-value",
        "GCS_ENABLED_TOOLS": "your-value",
        "GCS_DISABLED_TOOLS": "your-value",
        "SKIP_HEALTH_CHECKS": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • GCS_PROJECT_ID 必填 env
    Google Cloud project ID.
  • GCS_SERVICE_ACCOUNT_KEY_FILE 机密 env
    Path to service account key JSON file.
  • GCS_SERVICE_ACCOUNT_KEY_JSON 机密 env
    Service account key JSON contents (inline).
  • GCS_BUCKET env
    Constrain all operations to a single bucket (hides bucket-level tools).
  • GCS_ENABLED_TOOLGROUPS env
    Comma-separated tool groups to enable (readonly, readwrite, delete).
  • GCS_ENABLED_TOOLS env
    Comma-separated list of specific tools to enable (overrides groups).
  • GCS_DISABLED_TOOLS env
    Comma-separated list of specific tools to disable.
  • SKIP_HEALTH_CHECKS env
    Skip health checks on startup.

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过域名 pulsemcp.com 验证(注册中心会核实域名所有权)

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 32520 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 32520 个服务器的 13% 更新
  • 基础检查结果等于或优于此分类中其他 32520 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Gcs 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

你需要填写:GCS_PROJECT_ID, GCS_SERVICE_ACCOUNT_KEY_FILE, GCS_SERVICE_ACCOUNT_KEY_JSON

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.1.14)于5个月前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。

有什么可以替代它?

同一分类中有:Spec Driven Development, Remote Desktop Commander, Toggl 2.0

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Spec Driven Development

作者:formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新
安装

Remote Desktop Commander

作者:desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 211昨天更新
安装

Toggl 2.0

作者:toggl

Toggl 2.0 MCP server for tasks, projects, time entries, and workspace operations.

在你的电脑上运行今天更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

GCS MCP Server

MCP server for Google Cloud Storage operations with fine-grained tool access control. Supports read/write operations on GCS buckets and objects, with configurable tool groups for security and permission management.

Highlights

  • Full GCS bucket and object management (list, get, put, copy, delete)
  • Fine-grained access control with tool groups (readonly, readwrite, delete)
  • Individual tool enable/disable via environment variables
  • Multiple authentication methods (service account key file, inline JSON, ADC)
  • GCS credential validation with health checks
  • Single bucket constraint mode
  • TypeScript with strict type checking
  • Comprehensive testing (functional, integration, manual)

Capabilities

Tools
ToolGroupDescription
list_bucketsreadonlyList all GCS buckets in the Google Cloud project
list_objectsreadonlyList objects in a bucket with prefix and pagination
get_objectreadonlyGet object contents as text
download_objectreadonlyDownload a single object to a local file (binary-safe)
download_prefixreadonlyRecursively download a prefix to a local directory (binary-safe)
head_bucketreadonlyCheck if a bucket exists and is accessible
put_objectreadwriteUpload or update an object from inline string content
put_object_from_pathreadwriteUpload a single local file by streaming from disk (binary-safe, context-free)
upload_prefixreadwriteRecursively upload a local directory tree from disk (binary-safe, context-free)
copy_objectreadwriteCopy an object within or across buckets
create_bucketreadwriteCreate a new GCS bucket
delete_objectdeleteDelete an object from a bucket
delete_bucketdeleteDelete an empty GCS bucket
Downloading to Local Disk

get_object returns an object's contents inline as UTF-8 text, which is lossy for binary data and impractical for large files or many files at once. For local data-wrangling, use the download tools instead — both stream raw bytes to disk and belong to the readonly toolgroup:

  • `download_object` — download a single object to a local file path. Defaults to a unique file under the OS temp directory.
  • `download_prefix` — recursively download every object under a prefix to a local directory, preserving the key path structure as subdirectories. Paginates through the full listing, skips directory-placeholder objects (keys ending in /), collects per-object errors without aborting the batch, and returns a manifest:
  {

"destinationDir": "/tmp/gcs-download-my-bucket-1700000000000", "objectCount": 1234, "totalBytes": 5678901, "files": [ { "key": "logs/2024/01/data.json", "localPath": "/tmp/.../01/data.json", "size": 1234 } ], "filesTruncated": true, "errors": [] }

The inline files list is capped (maxInlineEntries, default 100), but objectCount and totalBytes always reflect the full download. When destinationDir is omitted it defaults to a unique folder under the OS temp directory.

Uploading from Local Disk

put_object takes the object content inline as a string argument, which routes every byte through the model context and requires base64 for binary data — impractical for large files or bulk uploads. For uploading files or folders without consuming context, use the local-path upload tools instead. Both stream raw bytes directly from disk to GCS server-side, returning only metadata. They belong to the readwrite toolgroup, so read-only deployments never gain them.

  • `put_object_from_path` — upload a single local file by streaming it from a filesystem path. Content type is auto-detected from the file extension (override with contentType). Binary files (images, archives) work without base64. Returns { bucket, key, sourcePath, size, etag, generation }.
  • `upload_prefix` — recursively upload every file under a local directory, preserving the directory structure as key paths beneath a destination prefix. Symbolic links to files are followed and uploaded (links to directories are skipped to avoid cycles), per-file failures are collected without aborting the batch, and it returns a manifest:
  {

"bucket": "my-bucket", "sourceDir": "/tmp/exports", "destPrefix": "uploads/", "objectCount": 1234, "totalBytes": 5678901, "files": [ { "localPath": "/tmp/exports/01/data.json", "key": "uploads/01/data.json", "size": 1234 } ], "filesTruncated": true, "errors": [] }

The inline files list is capped (maxInlineEntries, default 100), but objectCount and totalBytes always reflect the full upload. When destPrefix is omitted, files upload to the bucket root.

Resources
ResourceDescription
gcs://configServer configuration and status (for debugging)
Tool Groups

Control which tools are available via the GCS_ENABLED_TOOLGROUPS environment variable:

GroupDescription
readonlyRead-only operations (list, get, head)
readwriteNon-destructive write operations (put, copy, create)
deleteDelete operations (delete_object, delete_bucket)

Examples:

  • GCS_ENABLED_TOOLGROUPS="readonly" - Only read operations
  • GCS_ENABLED_TOOLGROUPS="readonly,readwrite" - Read and write, no deletes
  • GCS_ENABLED_TOOLGROUPS="readonly,readwrite,delete" - All operations
  • Not set - All tools enabled (default)
Individual Tool Control

Fine-grained control over specific tools:

  • GCS_ENABLED_TOOLS="list_buckets,get_object" - Only enable these tools
  • GCS_DISABLED_TOOLS="delete_bucket,delete_object" - Disable these tools
Single Bucket Mode

Constrain all operations to a specific bucket using GCS_BUCKET:

GCS_BUCKET="my-bucket"

When set:

  • All object operations are automatically scoped to this bucket
  • Bucket-level tools (list_buckets, create_bucket, delete_bucket, head_bucket) are hidden
  • The bucket parameter is automatically injected and hidden from tool inputs
  • For copy_object, both source and destination are constrained to the specified bucket

This lets you grant a least-privilege service account that has only object-level access to one bucket, without project-level bucket-listing permission. The startup healthcheck honors this: when GCS_BUCKET is set it validates credentials with an object-scoped probe (storage.objects.list on that bucket) and never calls the project-level bucket list or a bucket-metadata probe. See Required IAM permissions for the exact permissions per mode.

Required IAM permissions

The minimal IAM permissions depend on whether the server is constrained to a single bucket (GCS_BUCKET) and which tool groups you enable. The startup healthcheck validates credentials within these bounds — it does not require any permission beyond what the table below lists for your mode.

Startup healthcheck
ModePermission the healthcheck needsNotes
Single bucket (GCS_BUCKET set)storage.objects.list on the constrained bucketProbes list_objects with maxResults: 1. Does not require project-level storage.buckets.list or bucket-metadata storage.buckets.get, so a correctly least-privilege, object-only service account can start.
Unconstrained (no GCS_BUCKET)project-level storage.buckets.listValidates by listing buckets in the project.

Set SKIP_HEALTH_CHECKS=true to bypass startup validation entirely (disables all credential checks — not recommended).

Per-tool permissions

Beyond the healthcheck, each tool needs the corresponding GCS permission at runtime. Grant only what the tool groups you enable require:

Tool / groupPermission
list_objects (readonly)storage.objects.list
get_object, download_object (readonly)storage.objects.get
download_prefix (readonly)storage.objects.list, storage.objects.get
list_buckets (readonly)storage.buckets.list
head_bucket (readonly)storage.buckets.get
put_object, put_object_from_path, upload_prefix, copy_object (readwrite)storage.objects.create, storage.objects.get (these tools read each object's metadata back after writing to return its etag/generation; copy_object additionally reads the copy source)

| create_bucket (readwrite) | storage.buckets.create

只显示了开头部分;其余内容请在仓库中阅读

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