thecolorred/data-store-mcp/data-store-object-storage

ALWAYS #tool:read/readFile these additional instructions to understand the Data Store flow. Use the tools in the correct order to operate on object storage resources.

ALWAYS #tool:read/readFile AWS S3 payload instructions before constructing any payload for S3. The field names and requirements differ between providers, and using the wrong format will lead to errors.

ALWAYS #tool:read/readFile Azure Blob Storage payload instructions before constructing any payload for Azure Blob Storage. The field names and requirements differ between providers, and using the wrong format will lead to errors.

Object Storage

Use this skill when the user needs to inspect or manage objects in cloud object storage such as Amazon S3 or Azure Blob Storage. This skill covers common object storage workflows such as listing content, downloading files, uploading new objects, replacing existing objects, and deleting storage items. It is designed for operations that are centered on object resources rather than relational tables or document records.

When To Use

Use this skill when the user wants to list, download, upload, replace, or delete objects in a bucket or container. It should be selected whenever the problem is about object-level storage operations rather than standard database queries. This skill also applies when the user explicitly mentions Amazon S3 or Azure Blob Storage, or when they need metadata, signed URLs, or content from a cloud object store.

• Use this skill when the user wants to list, download, upload, replace, or delete objects in a bucket or container.
• Use this skill when the user needs metadata, signed URLs, or content from object storage.
• Use this skill for both Amazon S3 and Azure Blob Storage operations.

Tool Usage

The object storage skill uses the shared data store toolset to map storage methods to the appropriate tool operations. Each tool corresponds to a concrete storage action, and using the correct tool helps keep payload construction consistent. Rely on these tool mappings when responding to requests about object storage operations.

• Use the #tool:data-store/select tool to get the object content or metadata.
• Use the #tool:data-store/insert tool to upload an object (INSERT).
• Use the #tool:data-store/update tool to overwrite an object (UPDATE).
• Use the #tool:data-store/delete tool to remove an object (DELETE).
• Use the #tool:data-store/mutation tool as a generic alias for INSERT, UPDATE, DELETE, GET, and SELECT.
• Use the #tool:data-store/schema tool to get metadata for the bucket/container and objects.

Provider Notes

Provider-specific naming matters because Amazon S3 and Azure Blob Storage use different field names for the same logical concepts. This section describes how each provider maps the shared object storage model to its own payload fields. Understanding these differences reduces errors and helps the agent choose the correct payload format.

• Amazon S3 uses bucket and key; Azure Blob Storage uses container and blob.
• The same methods apply to both providers, but the exact field names differ.
• SELECT is a listing operation. For S3, key is optional and acts as a prefix when provided; omitting key lists from the bucket root. For Azure Blob, blob is optional and acts as a prefix filter.
• GET, INSERT, UPDATE, and DELETE identify a single object and require an exact object path.
• INSERT and UPDATE always require both sourceType and sourceValue. When sourceType is path, the MIME type is detected automatically from the file extension.
• S3 GET returns a signedUrl pre-signed for one hour in addition to the object body and metadata.
• Azure Blob DELETE returns a succeeded flag and an errorCode; it does not throw on a missing blob.
• If the connection provides a default bucket or container, that field may be omitted from the payload.

Object Storage Payload

The provider-specific payload instructions contain the exact fields and requirements for each supported storage service. Always consult the instructions before generating the final payload, because they explain required fields, optional fields, and method-specific behavior. These references are the authoritative source for field names and shape expectations.

• Amazon S3 Payload
• Azure Blob Storage Payload

Example Assets

Example payload files are included to show concrete request shapes for each operation and provider. Review the examples before building a payload so you can confirm the correct field names and minimal required properties. These assets are helpful as templates for both Amazon S3 and Azure Blob Storage requests.