AWS MCP Server
The AWS MCP Server integrates FlowHunt with AWS S3 and DynamoDB, enabling AI agents to automate cloud resource management, perform database operations, and handle file storage—all actions are securely logged for audit and compliance.
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The AWS MCP Server integrates FlowHunt with AWS S3 and DynamoDB, enabling AI agents to automate cloud resource management, perform database operations, and handle file storage—all actions are securely logged for audit and compliance.
The AWS Resources MCP Server lets AI assistants manage and query AWS resources conversationally using Python and boto3. Integrate powerful AWS automation and management into your FlowHunt workflows with secure, permission-based operations.
The AWS Cost Explorer MCP Server connects AI assistants like Claude with AWS Cost Explorer and Bedrock Model Invocation Logs, enabling natural language queries and analysis of cloud spend data for enhanced AWS cost management and reporting.
The aws-athena MCP Server connects AI workflows to AWS Athena, enabling AI agents to execute SQL queries directly on data stored in Amazon S3. It streamlines data access, analytics, and code generation for enterprise and automation use cases.
Amazon SageMaker is a fully managed machine learning (ML) service from AWS that enables data scientists and developers to quickly build, train, and deploy machine learning models using a comprehensive suite of integrated tools, frameworks, and MLOps capabilities.
Discover what AWS Edge Locations are, how they differ from Regions and Availability Zones, and how they enhance content delivery with reduced latency, improved performance, and global reach.