blob_read
Retrieve content from Azure Blob Storage by specifying container and blob names to access stored data.
Instructions
Read a blob's content from Blob Storage
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| container_name | Yes | Name of the Blob Storage container | |
| blob_name | Yes | Name of the blob to read |
Implementation Reference
- mcp_server_azure/azure_server.py:219-225 (handler)Executes the blob_read tool by creating a blob client, downloading the blob content, decoding it as UTF-8, and returning it as TextContent.
elif name == "blob_read": blob_client = blob_service_client.get_blob_client( container=arguments["container_name"], blob=arguments["blob_name"] ) downloader = blob_client.download_blob() content = downloader.readall().decode("utf-8") return [TextContent(type="text", text=content)] - Defines the schema for the blob_read tool, including input parameters container_name and blob_name as required strings.
Tool( name="blob_read", description="Read a blob's content from Blob Storage", inputSchema={ "type": "object", "properties": { "container_name": { "type": "string", "description": "Name of the Blob Storage container", }, "blob_name": { "type": "string", "description": "Name of the blob to read", }, }, "required": ["container_name", "blob_name"], }, ), - mcp_server_azure/azure_server.py:172-176 (registration)Registers the blob_read tool (among others) by returning the list of Azure tools from get_azure_tools() in the list_tools handler.
async def list_tools() -> list[Tool]: """List available Azure tools""" logger.debug("Handling list_tools request") return get_azure_tools() # Use get_azure_tools