mcp-server-s3
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| AWS_REGION | No | The AWS region to use for S3 operations. | us-east-1 |
| AWS_ACCESS_KEY_ID | No | AWS access key ID for authentication. | |
| AWS_SECRET_ACCESS_KEY | No | AWS secret access key for authentication. |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| list_bucketsB | List all S3 buckets in your AWS account. |
| list_objectsB | List objects in an S3 bucket. Optionally filter by prefix and limit count. |
| get_objectA | Download and read the contents of an S3 object as text. |
| put_objectC | Upload text content to an S3 object. |
| delete_objectC | Delete an object from an S3 bucket. |
| presigned_urlC | Generate a presigned URL for temporary access to an S3 object. |
| bucket_infoC | Check if a bucket exists and get basic info. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 7 tools
Each tool has a clearly distinct purpose targeting specific S3 operations: bucket existence checks, deletion, downloading, listing buckets, listing objects, generating URLs, and uploading. There is no overlap or ambiguity between tools like list_buckets and list_objects, which serve different scopes.
All tools follow a consistent verb_noun pattern with snake_case (e.g., list_buckets, get_object, put_object). The naming is predictable and readable throughout, making it easy for agents to understand the action and target.
With 7 tools, this server is well-scoped for S3 operations, covering essential CRUD and management tasks without being overwhelming. Each tool earns its place, providing a balanced set for common workflows like listing, reading, writing, and deleting objects and buckets.
The toolset covers core S3 operations including create (put_object), read (get_object, list_*), update (implied via put_object overwrite), and delete, plus utilities like presigned_url and bucket_info. A minor gap is the lack of explicit bucket creation/deletion tools, but agents can work around this using AWS CLI or other methods.