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Why this server?
This server integrates with AWS CodePipeline, allowing users to manage pipelines through Windsurf and Cascade using natural language commands, which directly aligns with the search for AWS.
Why this server?
Integrates with Amazon Braket, enabling access, control, and interpretation of results from quantum computing resources, directly related to AWS services.
Why this server?
Allows running SQL queries with AWS Athena to access data available from AWS Glue catalog, directly relating to AWS services.
Why this server?
Provides a command-line tool and API to analyze and visualize AWS cloud spending data, enabling queries to AWS Cost Explorer using natural language.
Why this server?
This server enables natural language interaction with Azure services, supporting resource management, subscription handling, and tenant selection. Although it mentions Azure and not AWS, it's important to include because it might be related to what a user may need as comparison between the cloud services
Why this server?
Provides access to Amazon Bedrock's Nova Canvas model for AI image generation, catering to AI and image generation on the AWS platform.
Why this server?
Enables Claude to execute Python code using boto3 to query and manage AWS resources directly from conversations, directly referencing AWS.
Why this server?
A Model Context Protocol server that enables Claude to perform AWS operations on S3 and DynamoDB services through natural language commands, directly related to AWS.
Why this server?
A Model Context Protocol (MCP) server that provides intelligent access to PowerPlatform/Dataverse entities and records. Although it does not directly include AWS, many companies need a solution that integrates with all cloud services and not just AWS.
Why this server?
A server providing a unified interface to interact with Firebase services, including Authentication, Firestore, and Storage. Although it doesn't mention AWS, it is important to have multiple services to compare.