Over a three-month period, clouddiver@gmail.com developed and maintained core backend features for the amzn/selling-partner-api-samples repository, focusing on analytics and data accessibility for Amazon sellers and vendors. They built a Model Context Protocol server that enables AI assistants to translate natural language queries into GraphQL, allowing users to retrieve sales, traffic, and inventory data efficiently. Their work included implementing local storage for offline document access, standardizing module imports, and enhancing documentation for onboarding and compliance. Using TypeScript, Node.js, and GraphQL, they addressed both new feature development and technical debt, demonstrating depth in backend integration and cloud service management.
Monthly summary for 2025-07 focusing on key outcomes and business value for amzn/selling-partner-api-samples.
Monthly summary for 2025-07 focusing on key outcomes and business value for amzn/selling-partner-api-samples.
May 2025 monthly summary for amzn/selling-partner-api-samples: Delivered offline data capabilities and cleaned up legacy code paths to improve reliability and developer productivity. Implemented local storage for request results and offline document access in Amazon Data Kiosk, including directory creation fallbacks and a read-file tool for paginating locally stored content. Fixed key maintenance/consistency issues by removing the deprecated LLM context script (flatten-project.sh) and standardizing shared utilities import paths across server packages.
May 2025 monthly summary for amzn/selling-partner-api-samples: Delivered offline data capabilities and cleaned up legacy code paths to improve reliability and developer productivity. Implemented local storage for request results and offline document access in Amazon Data Kiosk, including directory creation fallbacks and a read-file tool for paginating locally stored content. Fixed key maintenance/consistency issues by removing the deprecated LLM context script (flatten-project.sh) and standardizing shared utilities import paths across server packages.
April 2025 Monthly Summary for amzn/selling-partner-api-samples: Delivered the MCP Server for Data Kiosk: Seller and Vendor Analytics, enabling natural-language querying of sales, traffic, economics, and inventory data by bridging the AI assistants with the Data Kiosk API. Implemented a Model Context Protocol (MCP) server that translates natural language requests into GraphQL queries, supporting separate seller and vendor analytics packages. This work lays the foundation for AI-assisted analytics and faster data-driven decision making across seller and vendor teams.
April 2025 Monthly Summary for amzn/selling-partner-api-samples: Delivered the MCP Server for Data Kiosk: Seller and Vendor Analytics, enabling natural-language querying of sales, traffic, economics, and inventory data by bridging the AI assistants with the Data Kiosk API. Implemented a Model Context Protocol (MCP) server that translates natural language requests into GraphQL queries, supporting separate seller and vendor analytics packages. This work lays the foundation for AI-assisted analytics and faster data-driven decision making across seller and vendor teams.
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