mcp-getgather/mcp-getgather
Sep 2025 – Jun 2026
9 Months active
Languages Used
HTMLPythonYAMLJavaScriptCSS
Technical Skills
Backend DevelopmentCSS SelectorsData ExtractionWeb ScrapingAPI IntegrationAuthentication
Yoan Pratama Putra
PROFILE
Yoan Pratama Putra
Over nine months, this developer delivered 28 features and multiple reliability improvements to the mcp-getgather/mcp-getgather repository, focusing on robust data integration, authentication flows, and automation for e-commerce and analytics platforms. They engineered end-to-end solutions for order history retrieval, sign-in UX, and multi-factor authentication, leveraging Python, JavaScript, and GraphQL. Their work included distillation-based data extraction, asynchronous programming for remote data access, and resilient error handling. By modernizing integrations with frameworks like Zen and enhancing UI/UX with React and CSS, they improved data fidelity, security, and maintainability, enabling scalable automation and richer analytics across diverse business and consumer data sources.
Overall Statistics
Feature vs Bugs
90%Features
Repository Contributions
58Total
Bugs
3
Commits
58
Features
28
Lines of code
4,089
Activity Months9
Your Network
7 peopleWork History
June 2026
16 Commits • 4 Features
Jun 1, 2026June 2026 performance summary for mcp-getgather/mcp-getgather: Focused on delivering user-centric authentication UX enhancements, security pattern hardening, and improved navigation/reliability across Walmart experiences. Key initiatives included a comprehensive Sign-in and OTP UX overhaul with per-digit OTP entry, expanded error messaging, multiple sign-in options (Text me, skip passkey), and loading feedback to reduce friction during authentication; security enhancements with bot-detection pattern updates across Walmart subdomains; enabling direct navigation from Order History by attaching canonicalUrl to items; and reliability improvements for the logged-out homepage. Additionally, action-delays and input handling optimizations reduced interaction latency and minimized race conditions during auth flows. These efforts improved sign-in conversion, security posture, and cross-page usability with measurable reductions in friction and support requests.
16 Commits • 4 Features
Jun 1, 2026June 2026 performance summary for mcp-getgather/mcp-getgather: Focused on delivering user-centric authentication UX enhancements, security pattern hardening, and improved navigation/reliability across Walmart experiences. Key initiatives included a comprehensive Sign-in and OTP UX overhaul with per-digit OTP entry, expanded error messaging, multiple sign-in options (Text me, skip passkey), and loading feedback to reduce friction during authentication; security enhancements with bot-detection pattern updates across Walmart subdomains; enabling direct navigation from Order History by attaching canonicalUrl to items; and reliability improvements for the logged-out homepage. Additionally, action-delays and input handling optimizations reduced interaction latency and minimized race conditions during auth flows. These efforts improved sign-in conversion, security posture, and cross-page usability with measurable reductions in friction and support requests.
June 2026
May 2026
6 Commits • 2 Features
May 1, 2026May 2026: Delivered end-to-end Walmart-focused enhancements in mcp-getgather/mcp-getgather, concentrating on a streamlined sign-in experience and robust order history tooling, plus reliability and code-quality improvements. The work enables fuller data capture, better user onboarding, and more resilient automation against transient failures.
May 2026
6 Commits • 2 Features
May 1, 2026May 2026: Delivered end-to-end Walmart-focused enhancements in mcp-getgather/mcp-getgather, concentrating on a streamlined sign-in experience and robust order history tooling, plus reliability and code-quality improvements. The work enables fuller data capture, better user onboarding, and more resilient automation against transient failures.
April 2026
4 Commits • 2 Features
Apr 1, 2026April 2026: Delivered reliability-focused sign-in improvements and an intuitive YouTube channel selection feature in the mcp-getgather/mcp-getgather repo, along with targeted bug fixes to enhance UX and stability. These changes support higher user conversion, reduced friction in content access, and scalable front-end patterns.
4 Commits • 2 Features
Apr 1, 2026April 2026: Delivered reliability-focused sign-in improvements and an intuitive YouTube channel selection feature in the mcp-getgather/mcp-getgather repo, along with targeted bug fixes to enhance UX and stability. These changes support higher user conversion, reduced friction in content access, and scalable front-end patterns.
April 2026
March 2026
4 Commits • 2 Features
Mar 1, 2026March 2026 monthly summary for the mcp-getgather/mcp-getgather repository. This period focused on delivering multi-source data retrieval capabilities, expanding the MCP app ecosystem, and hardening deployment reliability to support better business outcomes.
March 2026
4 Commits • 2 Features
Mar 1, 2026March 2026 monthly summary for the mcp-getgather/mcp-getgather repository. This period focused on delivering multi-source data retrieval capabilities, expanding the MCP app ecosystem, and hardening deployment reliability to support better business outcomes.
February 2026
3 Commits • 2 Features
Feb 1, 2026February 2026: Delivered two high-impact feature sets in mcp-getgather/mcp-getgather, focusing on robust data integration for health and e-commerce signals. Implemented Garmin integration for activities, calories burned, and training stress score (TSS) with HTML parsing and sign-in flow. Implemented Amazon data access tools enabling remote retrieval of purchase history, browsing history, and product search via asynchronous data fetching, with error handling and logging. Updated HTML to include a conversion attribute for Amazon orders to improve downstream data processing. These efforts strengthen end-to-end data capture, enable richer analytics, and support business workflows around user engagement and purchasing behavior.
3 Commits • 2 Features
Feb 1, 2026February 2026: Delivered two high-impact feature sets in mcp-getgather/mcp-getgather, focusing on robust data integration for health and e-commerce signals. Implemented Garmin integration for activities, calories burned, and training stress score (TSS) with HTML parsing and sign-in flow. Implemented Amazon data access tools enabling remote retrieval of purchase history, browsing history, and product search via asynchronous data fetching, with error handling and logging. Updated HTML to include a conversion attribute for Amazon orders to improve downstream data processing. These efforts strengthen end-to-end data capture, enable richer analytics, and support business workflows around user engagement and purchasing behavior.
February 2026
December 2025
4 Commits • 1 Features
Dec 1, 2025December 2025 performance month focused on modernization of the integration stack and strengthening order processing reliability. Delivered a Zen-based integration overhaul across multiple modules and hardened the order details workflow, resulting in improved functionality, performance, and UI reliability, with enhanced observability and maintainability.
December 2025
4 Commits • 1 Features
Dec 1, 2025December 2025 performance month focused on modernization of the integration stack and strengthening order processing reliability. Delivered a Zen-based integration overhaul across multiple modules and hardened the order details workflow, resulting in improved functionality, performance, and UI reliability, with enhanced observability and maintainability.
November 2025
7 Commits • 5 Features
Nov 1, 2025November 2025: Delivered substantial data integration and reliability improvements across major data pipelines, with emphasis on maintainability, analytics capabilities, and developer productivity. Key outcomes include Zen-based migrations, enhanced data capture, timezone-aware sessions, and targeted codebase optimizations that collectively improve data accuracy, downstream workflows, and release cadence.
7 Commits • 5 Features
Nov 1, 2025November 2025: Delivered substantial data integration and reliability improvements across major data pipelines, with emphasis on maintainability, analytics capabilities, and developer productivity. Key outcomes include Zen-based migrations, enhanced data capture, timezone-aware sessions, and targeted codebase optimizations that collectively improve data accuracy, downstream workflows, and release cadence.
November 2025
October 2025
11 Commits • 9 Features
Oct 1, 2025October 2025 (2025-10) monthly summary for mcp-getgather/mcp-getgather: Expanded data extraction depth and vendor coverage, improved reliability through distillation-based extraction, and integrated multiple services via dpage. This period delivered key features across Goodreads, Amazon, Office Depot, Netflix, Starbucks, and Kindle, aligning with business goals of richer analytics, end-to-end data retrieval, and scalable automation.
October 2025
11 Commits • 9 Features
Oct 1, 2025October 2025 (2025-10) monthly summary for mcp-getgather/mcp-getgather: Expanded data extraction depth and vendor coverage, improved reliability through distillation-based extraction, and integrated multiple services via dpage. This period delivered key features across Goodreads, Amazon, Office Depot, Netflix, Starbucks, and Kindle, aligning with business goals of richer analytics, end-to-end data retrieval, and scalable automation.
September 2025
3 Commits • 1 Features
Sep 1, 2025Monthly summary for 2025-09 focusing on developer work for repository mcp-getgather/mcp-getgather. Highlights include a feature-driven refactor of Amazon purchases data extraction to a distillation-based approach with refined product title selection, and a bug fix ensuring MCP tool documentation always has a description. These changes improve data accuracy, tool documentation completeness, and overall reliability, delivering measurable business value for downstream analytics and user-facing documentation.
3 Commits • 1 Features
Sep 1, 2025Monthly summary for 2025-09 focusing on developer work for repository mcp-getgather/mcp-getgather. Highlights include a feature-driven refactor of Amazon purchases data extraction to a distillation-based approach with refined product title selection, and a bug fix ensuring MCP tool documentation always has a description. These changes improve data accuracy, tool documentation completeness, and overall reliability, delivering measurable business value for downstream analytics and user-facing documentation.
September 2025
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Quality Metrics
Correctness89.2%
Maintainability87.6%
Architecture87.0%
Performance87.0%
AI Usage26.2%
Skills & Technologies
Programming Languages
CSSHTMLJavaScriptPythonYAML
Technical Skills
API IntegrationAPI developmentAPI integrationAuthenticationBackend DevelopmentCI/CDCSSCSS SelectorsConfiguration ManagementData ExtractionData ValidationFrontend DevelopmentGraphQLHTMLHTML Parsing
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