mcp-getgather/mcp-getgather
Aug 2025 – Apr 2026
9 Months active
Languages Used
CSSDockerfileHTMLJSONJavaScriptPythonShellTypeScript
Technical Skills
API DevelopmentBackend DevelopmentCI/CDData ExtractionDevOpsDocker
Juang Wiantoro
PROFILE
Juang Wiantoro
Juan Gwiantoro developed and maintained the mcp-getgather/mcp-getgather repository over nine months, delivering 31 features and addressing complex data extraction, automation, and integration challenges. He architected unified remote data retrieval across multiple brands, standardized extraction workflows, and improved sign-in reliability using Python, TypeScript, and React. His work included browser automation for Amazon and Goodreads, migration to centralized distillation logic, and enhancements to authentication flows with XPath and OTP handling. By refactoring code organization, optimizing backend and frontend integration, and implementing robust error handling, Juan increased system reliability, reduced maintenance overhead, and enabled scalable, maintainable automation for distributed data gathering workflows.
Overall Statistics
Feature vs Bugs
91%Features
Repository Contributions
80Total
Bugs
3
Commits
80
Features
31
Lines of code
28,735
Activity Months9
Your Network
7 peopleWork History
April 2026
8 Commits • 2 Features
Apr 1, 2026April 2026 monthly summary for mcp-getgather. Focused on reliability, cross-host probing, and stability to unlock distributed testing and maintainability. Delivered key features to harden sign-in flow and remote tab management, stabilized external integrations, and implemented internal performance improvements. These changes reduce end-to-end sign-in failures, improve cross-machine probing reliability, minimize merge friction, and lower runtime noise while boosting polling efficiency and overall system resilience.
8 Commits • 2 Features
Apr 1, 2026April 2026 monthly summary for mcp-getgather. Focused on reliability, cross-host probing, and stability to unlock distributed testing and maintainability. Delivered key features to harden sign-in flow and remote tab management, stabilized external integrations, and implemented internal performance improvements. These changes reduce end-to-end sign-in failures, improve cross-machine probing reliability, minimize merge friction, and lower runtime noise while boosting polling efficiency and overall system resilience.
April 2026
March 2026
11 Commits • 2 Features
Mar 1, 2026March 2026: Delivered a unified, parallelized remote data retrieval layer across 8 brands/modules (Garmin, Gofood, Wayfair, Goodreads, Shopee, Tokopedia, Doordash, Blindster) with standardized extraction patterns by defaulting to remote tools. Executed a broad MCP refactor migrating patterns to gg-convert-based converters, enabling faster onboarding of new brands and more reliable, extensible data pipelines. Refactored the DPage sign-in flow to achieve stateless session reuse across browser restarts, improving user experience and resilience. Also streamlined remote vs non-remote definitions by removing unnecessary prefixes in blinds/blindster, reducing complexity. Business value realized includes higher data ingestion reliability, reduced maintenance overhead, faster feature delivery for new brands, and improved analytics quality.
March 2026
11 Commits • 2 Features
Mar 1, 2026March 2026: Delivered a unified, parallelized remote data retrieval layer across 8 brands/modules (Garmin, Gofood, Wayfair, Goodreads, Shopee, Tokopedia, Doordash, Blindster) with standardized extraction patterns by defaulting to remote tools. Executed a broad MCP refactor migrating patterns to gg-convert-based converters, enabling faster onboarding of new brands and more reliable, extensible data pipelines. Refactored the DPage sign-in flow to achieve stateless session reuse across browser restarts, improving user experience and resilience. Also streamlined remote vs non-remote definitions by removing unnecessary prefixes in blinds/blindster, reducing complexity. Business value realized includes higher data ingestion reliability, reduced maintenance overhead, faster feature delivery for new brands, and improved analytics quality.
February 2026
5 Commits • 3 Features
Feb 1, 2026February 2026 performance snapshot for mcp-getgather/mcp-getgather focusing on reliability, data access, and developer productivity. Delivered user-value features, stabilized data extraction, and expanded data sources while reducing maintenance toil.
5 Commits • 3 Features
Feb 1, 2026February 2026 performance snapshot for mcp-getgather/mcp-getgather focusing on reliability, data access, and developer productivity. Delivered user-value features, stabilized data extraction, and expanded data sources while reducing maintenance toil.
February 2026
January 2026
7 Commits • 3 Features
Jan 1, 2026January 2026 highlights for mcp-getgather/mcp-getgather: Key feature deliveries across Zen distillation and Amazon verification, plus substantial codebase cleanup. Zen distillation performance improved, batch visibility checks added, iframe support, external distill converters, and consolidation into zen_distill.py. Amazon verification flow reliability enhanced with XPath-based matching and Arkose integration, along with broader error-page matching reliability. Amazon module migrated to Zen with cleanup of unused components, reducing codebase complexity. Stability and maintainability improvements include navigation safeguards and escaping fixes, with all distillation logic centralized to simplify maintenance. These changes accelerate configuration changes, reduce user friction, and decrease ongoing maintenance cost.
January 2026
7 Commits • 3 Features
Jan 1, 2026January 2026 highlights for mcp-getgather/mcp-getgather: Key feature deliveries across Zen distillation and Amazon verification, plus substantial codebase cleanup. Zen distillation performance improved, batch visibility checks added, iframe support, external distill converters, and consolidation into zen_distill.py. Amazon verification flow reliability enhanced with XPath-based matching and Arkose integration, along with broader error-page matching reliability. Amazon module migrated to Zen with cleanup of unused components, reducing codebase complexity. Stability and maintainability improvements include navigation safeguards and escaping fixes, with all distillation logic centralized to simplify maintenance. These changes accelerate configuration changes, reduce user friction, and decrease ongoing maintenance cost.
December 2025
12 Commits • 3 Features
Dec 1, 2025Month 2025-12 monthly summary for mcp-getgather/mcp-getgather: Delivered major Zendriver migrations across Ashley, Alltrails, and amain MCPs to unify integration, improve reliability, and enable advanced element matching with XPath. Refactored cart retrieval to use updated HTML patterns for higher accuracy. Enhanced Amazon authentication flow with robust verification, OTP handling, and clearer error messaging to reduce sign-in friction. Introduced post-login actions via Zenddriver (zen_dpage_with_action) with an example that retrieves a Goodreads web-title to demonstrate end-to-end automation. Expanded pattern library with captcha, otp, and verification-code handling (including gg- optional and gg-error attributes), improving resilience and maintainability. Overall, these changes improve stability, performance, and business value by increasing automation reliability, reducing manual intervention, and enabling scalable MCP automation.
12 Commits • 3 Features
Dec 1, 2025Month 2025-12 monthly summary for mcp-getgather/mcp-getgather: Delivered major Zendriver migrations across Ashley, Alltrails, and amain MCPs to unify integration, improve reliability, and enable advanced element matching with XPath. Refactored cart retrieval to use updated HTML patterns for higher accuracy. Enhanced Amazon authentication flow with robust verification, OTP handling, and clearer error messaging to reduce sign-in friction. Introduced post-login actions via Zenddriver (zen_dpage_with_action) with an example that retrieves a Goodreads web-title to demonstrate end-to-end automation. Expanded pattern library with captcha, otp, and verification-code handling (including gg- optional and gg-error attributes), improving resilience and maintainability. Overall, these changes improve stability, performance, and business value by increasing automation reliability, reducing manual intervention, and enabling scalable MCP automation.
December 2025
November 2025
12 Commits • 7 Features
Nov 1, 2025In 2025-11, delivered high-impact MCP capabilities across Nordstrom, Quince, and Wayfair while strengthening reliability, maintainability, and cross-brand consistency. Key engineering wins include end-to-end order history retrieval, UX and sign-in enhancements, and architectural cleanups. A critical bug fix and a major tool-migration initiative reduced risk and operational overhead, enabling faster onboarding of additional brands and more predictable deployments.
November 2025
12 Commits • 7 Features
Nov 1, 2025In 2025-11, delivered high-impact MCP capabilities across Nordstrom, Quince, and Wayfair while strengthening reliability, maintainability, and cross-brand consistency. Key engineering wins include end-to-end order history retrieval, UX and sign-in enhancements, and architectural cleanups. A critical bug fix and a major tool-migration initiative reduced risk and operational overhead, enabling faster onboarding of additional brands and more predictable deployments.
October 2025
5 Commits • 4 Features
Oct 1, 2025October 2025: Delivered maintainability and reliability improvements for mcp-getgather. Key items: (1) Codebase organization: moved brand MCP files into getgather/mcp (commit 6c2bb354a0227c3998db17351f6124dfab76fa54); (2) Chewy order retrieval: replaced with generalized dpage patterns for sign-in/password and email-not-found flows (commit dfa18ac2555b15d5ed8f3b5a32f6efc34e074707); (3) Accessibility/SEO: added HTML <title> to pattern pages across domains (commit cdc11344bb68a7406d3cd465f6c344bf92f5ff6b); (4) Reliability: fixed Amazon tool session handling by ensuring run_distillation_loop closes sessions (commit 60c6262423f66b71df351cd715d3567bc8be44d7); (5) Testing: added Faker-based Amazon order history mock data for ACME Corp (commit 05118f7063233b9a81e489ab42c7698ec6afa2cf).
5 Commits • 4 Features
Oct 1, 2025October 2025: Delivered maintainability and reliability improvements for mcp-getgather. Key items: (1) Codebase organization: moved brand MCP files into getgather/mcp (commit 6c2bb354a0227c3998db17351f6124dfab76fa54); (2) Chewy order retrieval: replaced with generalized dpage patterns for sign-in/password and email-not-found flows (commit dfa18ac2555b15d5ed8f3b5a32f6efc34e074707); (3) Accessibility/SEO: added HTML <title> to pattern pages across domains (commit cdc11344bb68a7406d3cd465f6c344bf92f5ff6b); (4) Reliability: fixed Amazon tool session handling by ensuring run_distillation_loop closes sessions (commit 60c6262423f66b71df351cd715d3567bc8be44d7); (5) Testing: added Faker-based Amazon order history mock data for ACME Corp (commit 05118f7063233b9a81e489ab42c7698ec6afa2cf).
October 2025
September 2025
14 Commits • 4 Features
Sep 1, 2025September 2025 monthly summary for mcp-getgather/mcp-getgather: Focused on delivering reliable, scalable data extraction and automation capabilities that drive faster, more accurate insights for downstream systems. Key work included integrating Goodreads Stagehand for browser automation with distillation-based extraction, rolling out a unified distillation workflow across 10+ external connectors to standardize data retrieval, and strengthening code quality and release discipline with CI/CD improvements and configuration cleanup. These efforts reduced maintenance overhead, shortened onboarding for new connectors, and improved data quality and reliability for business-critical gathering workflows.
September 2025
14 Commits • 4 Features
Sep 1, 2025September 2025 monthly summary for mcp-getgather/mcp-getgather: Focused on delivering reliable, scalable data extraction and automation capabilities that drive faster, more accurate insights for downstream systems. Key work included integrating Goodreads Stagehand for browser automation with distillation-based extraction, rolling out a unified distillation workflow across 10+ external connectors to standardize data retrieval, and strengthening code quality and release discipline with CI/CD improvements and configuration cleanup. These efforts reduced maintenance overhead, shortened onboarding for new connectors, and improved data quality and reliability for business-critical gathering workflows.
August 2025
6 Commits • 3 Features
Aug 1, 2025August 2025: Delivered core frontend scaffolding and UI foundation, launched an automation-assisted data extractor for Amazon purchase history, and standardized the development environment to improve consistency and collaboration. Key outcomes include a cohesive React/Tailwind/Shadcn UI frontend connected to the backend, a reusable browser-automation feature for purchase data, and a Volta-based Node.js pinning policy that reduces onboarding time and environment drift. A bug fix resolved an import issue in the Amazon history tool, contributing to more reliable tooling and faster iteration.
6 Commits • 3 Features
Aug 1, 2025August 2025: Delivered core frontend scaffolding and UI foundation, launched an automation-assisted data extractor for Amazon purchase history, and standardized the development environment to improve consistency and collaboration. Key outcomes include a cohesive React/Tailwind/Shadcn UI frontend connected to the backend, a reusable browser-automation feature for purchase data, and a Volta-based Node.js pinning policy that reduces onboarding time and environment drift. A bug fix resolved an import issue in the Amazon history tool, contributing to more reliable tooling and faster iteration.
August 2025
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Quality Metrics
Correctness88.0%
Maintainability86.8%
Architecture86.6%
Performance82.8%
AI Usage26.6%
Skills & Technologies
Programming Languages
CSSDockerfileHTMLJSONJavaScriptPythonShellTypeScriptYAML
Technical Skills
API DevelopmentAPI IntegrationAPI developmentAPI integrationAutomationBackend DevelopmentBrowser AutomationCI/CDCode CleanupCode OrganizationCode QualityConfiguration ManagementData ExtractionData GenerationDependency Management
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