About gcs
A Google Cloud Storage MCP server for working with buckets and objects, with fine-grained tool access control. It supports group-level and per-tool enabling, and can be limited to a single bucket, suiting least-privilege setups for AI assistants.
Key features
- 01List, read, upload and copy buckets and objects
- 02Tool groups for readonly, readwrite and delete
- 03Enable or disable individual tools
- 04Service account key file, inline JSON or ADC authentication
- 05Single-bucket mode that scopes all operations
- 06Binary-safe download and upload of local files and folders
Use cases
- 01Letting an AI assistant browse bucket contents read-only
- 02Bulk uploading a local directory under a destination prefix
- 03Running with a service account limited to one bucket's objects
MCP support
As an MCP server, it exposes GCS bucket and object tools to MCP clients, along with a gcs://config resource for viewing server configuration and status.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
npx -y gcs-google-mcp-serverGCS_PROJECT_IDGoogle Cloud project ID.GCS_SERVICE_ACCOUNT_KEY_FILESecretPath to service account key JSON file.GCS_SERVICE_ACCOUNT_KEY_JSONSecretService account key JSON contents (inline).GCS_BUCKETConstrain all operations to a single bucket (hides bucket-level tools).GCS_ENABLED_TOOLGROUPSComma-separated tool groups to enable (readonly, readwrite, delete).GCS_ENABLED_TOOLSComma-separated list of specific tools to enable (overrides groups).GCS_DISABLED_TOOLSComma-separated list of specific tools to disable.SKIP_HEALTH_CHECKSSkip health checks on startup.Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEGCS 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
| Tool | Group | Description |
|---|---|---|
list_buckets | readonly | List all GCS buckets in the Google Cloud project |
list_objects | readonly | List objects in a bucket with prefix and pagination |
get_object | readonly | Get object contents as text |
download_object | readonly | Download a single object to a local file (binary-safe) |
download_prefix | readonly | Recursively download a prefix to a local directory (binary-safe) |
head_bucket | readonly | Check if a bucket exists and is accessible |
put_object | readwrite | Upload or update an object from inline string content |
put_object_from_path | readwrite | Upload a single local file by streaming from disk (binary-safe, context-free) |
upload_prefix | readwrite | Recursively upload a local directory tree from disk (binary-safe, context-free) |
copy_object | readwrite | Copy an object within or across buckets |
create_bucket | readwrite | Create a new GCS bucket |
delete_object | delete | Delete an object from a bucket |
delete_bucket | delete | Delete 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
fileslist is capped (maxInlineEntries, default 100), butobjectCountandtotalBytesalways reflect the full download. WhendestinationDiris 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 withcontentType). 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
fileslist is capped (maxInlineEntries, default 100), butobjectCountandtotalBytesalways reflect the full upload. WhendestPrefixis omitted, files upload to the bucket root.
Resources
| Resource | Description |
|---|---|
gcs://config | Server configuration and status (for debugging) |
Tool Groups
Control which tools are available via the GCS_ENABLED_TOOLGROUPS environment variable:
| Group | Description |
|---|---|
readonly | Read-only operations (list, get, head) |
readwrite | Non-destructive write operations (put, copy, create) |
delete | Delete operations (delete_object, delete_bucket) |
Examples:
GCS_ENABLED_TOOLGROUPS="readonly"- Only read operationsGCS_ENABLED_TOOLGROUPS="readonly,readwrite"- Read and write, no deletesGCS_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 toolsGCS_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
bucketparameter 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
| Mode | Permission the healthcheck needs | Notes |
|---|---|---|
Single bucket (GCS_BUCKET set) | storage.objects.list on the constrained bucket | Probes 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.list | Validates 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 / group | Permission |
|---|---|
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 |
delete_object (delete) | storage.objects.delete |
delete_bucket (delete) | storage.buckets.delete |
For a read-only, single-bucket service account, the roles/storage.objectViewer role on the bucket (or a custom role with storage.objects.list + storage.objects.get) is sufficient — no project-level or bucket-metadata permissions are needed.
Quick Start
Configuration
Environment Variables
| Variable | Required | Description | Default |
|---|---|---|---|
GCS_PROJECT_ID | Yes | Google Cloud project ID | - |
GCS_SERVICE_ACCOUNT_KEY_FILE | No | Path to service account key JSON file | - |
GCS_SERVICE_ACCOUNT_KEY_JSON | No | Service account key JSON contents (inline) | - |
GCS_BUCKET | No | Constrain operations to single bucket | - |
GCS_ENABLED_TOOLGROUPS | No | Comma-separated tool groups | All enabled |
GCS_ENABLED_TOOLS | No | Specific tools to enable | - |
GCS_DISABLED_TOOLS | No | Specific tools to disable | - |
SKIP_HEALTH_CHECKS | No | Skip credential validation | false |
Authentication
The server supports three authentication methods (in order of precedence):
- Service Account Key File: Set
GCS_SERVICE_ACCOUNT_KEY_FILEto the path of a JSON key file - Inline Service Account Key: Set
GCS_SERVICE_ACCOUNT_KEY_JSONwith the JSON contents directly - Application Default Credentials (ADC): No additional env vars needed - uses
gcloud auth application-default login
Claude Desktop Configuration
If this is your first time using MCP Servers, make sure you have the Claude Desktop application and follow the official MCP setup instructions.
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"gcs": {
"command": "npx",
"args": ["-y", "gcs-google-mcp-server"],
"env": {
"GCS_PROJECT_ID": "your-project-id",
"GCS_SERVICE_ACCOUNT_KEY_FILE": "/path/to/service-account-key.json",
"GCS_ENABLED_TOOLGROUPS": "readonly"
}
}
}
}
Restart Claude Desktop and you should be ready to go!
Read-Only Mode
For safer exploration, enable only read operations:
{
"env": {
"GCS_ENABLED_TOOLGROUPS": "readonly"
}
}
Using Application Default Credentials
If you have gcloud CLI configured locally:
gcloud auth application-default login
Then configure without key file:
{
"env": {
"GCS_PROJECT_ID": "your-project-id"
}
}
Development
Install Dependencies
npm run install-all
Build
npm run build
Running in Development Mode
npm run dev
Testing
# Run functional tests
npm run test:run
# Run integration tests (full MCP protocol)
npm run test:integration
# Run manual tests (real GCS - requires .env)
npm run test:manual:setup # First time only
npm run test:manual
# Run all automated tests
npm run test:all
Manual Testing Setup
Create a .env file in the gcs directory:
GCS_PROJECT_ID=your-project-id
GCS_SERVICE_ACCOUNT_KEY_FILE=/path/to/service-account-key.json
Then run:
npm run test:manual
Project Structure
gcs/
├── local/ # Local server implementation
│ ├── src/
│ │ ├── index.ts # Main entry point with env validation
│ │ └── index.integration-with-mock.ts
│ └── package.json
├── shared/ # Shared business logic
│ ├── src/
│ │ ├── server.ts # Server factory with DI
│ │ ├── tools.ts # Tool registration with grouping
│ │ ├── tools/ # Individual tool implementations
│ │ ├── resources.ts # Resource implementations
│ │ ├── gcs-client/ # Google Cloud Storage client wrapper
│ │ └── logging.ts
│ └── package.json
├── tests/ # Test suite
│ ├── functional/ # Unit tests with mocks
│ ├── integration/ # MCP protocol tests
│ ├── manual/ # Real API tests
│ └── mocks/ # Mock implementations
└── package.json # Root workspace config
License
MIT
Comments
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