mcp-getgather/mcp-getgather
Aug 2025 – Oct 2025
3 Months active
Languages Used
CSSDockerfileHTMLJSONJavaScriptPythonShellTypeScript
Technical Skills
API DevelopmentBackend DevelopmentCI/CDData ExtractionDevOpsDocker
Juang Wiantoro
PROFILE
Juang Wiantoro
Juan Gwiantoro developed and maintained core features for the mcp-getgather/mcp-getgather repository, focusing on scalable data extraction, browser automation, and frontend integration. He implemented a React and Tailwind CSS frontend, connected it to a FastAPI backend, and standardized development environments using Volta. Juan introduced browser-automation tools for Amazon and Goodreads, unified data extraction workflows across multiple connectors, and improved code quality with CI/CD enhancements and configuration cleanup. He also refactored code organization, enhanced session management, and created Faker-based mock data for testing. His work demonstrated depth in Python, TypeScript, and DevOps, resulting in more reliable and maintainable systems.
Overall Statistics
Feature vs Bugs
92%Features
Repository Contributions
25Total
Bugs
1
Commits
25
Features
11
Lines of code
17,687
Activity Months3
Your Network
6 people
Work History
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
Activity
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Quality Metrics
Correctness84.4%
Maintainability85.2%
Architecture84.4%
Performance71.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSSDockerfileHTMLJSONJavaScriptPythonShellTypeScriptYAML
Technical Skills
API DevelopmentAPI IntegrationAutomationBackend DevelopmentBrowser AutomationCI/CDCode CleanupCode OrganizationCode QualityConfiguration ManagementData ExtractionData GenerationDependency ManagementDevOpsDocker
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