mcp-getgather/mcp-getgather
Jul 2025 – Oct 2025
4 Months active
Languages Used
BashDockerfileGit AttributesGit IgnoreMarkdownPythonShellTOML
Technical Skills
API DevelopmentAPI IntegrationAPI TestingAsynchronous ProgrammingAuthenticationAutomation
Ariya Hidayat
PROFILE
Ariya Hidayat
Ariya developed core backend and automation features for the mcp-getgather repository, focusing on scalable data distillation and browser-based extraction tools. Over four months, Ariya established a robust FastAPI platform with containerized deployment, integrated CI/CD pipelines, and observability via structured logging. The work included building CLI and web automation flows using Python and Playwright, implementing multi-architecture Docker builds, and refining data modeling with Pydantic and dataclasses. Ariya improved reliability through health checks, remote debugging, and test automation, while optimizing performance by blocking heavy assets and streamlining browser sessions. The engineering demonstrated depth in system design, DevOps, and maintainable code organization.
Overall Statistics
Feature vs Bugs
78%Features
Repository Contributions
109Total
Bugs
15
Commits
109
Features
53
Lines of code
12,694
Activity Months4
Your Network
7 peopleSame Organization
@getgather.com1
Work History
October 2025
22 Commits • 11 Features
Oct 1, 2025Oct 2025 performance summary for mcp-getgather/mcp-getgather. Key distillation improvements delivered: core lifecycle and page management (proper page creation from the browser context and cleanup after distillation), clear distillation loop termination signaling using a tuple, and explicit distillation pattern and submit button handling. URL handling was strengthened with preloaded blocklists and absolute URLs for stories. CI and environment stability were improved by simplifying distillation CI environment variables, increasing container image build timeouts, and enforcing reasonable CI timeouts. Additional tooling enhancements included CNN tool integration (latest stories without sign-in) and short-lived MCP tooling refinements, contributing to more reliable automation. These changes collectively enable faster, more reliable distillation cycles, higher accuracy in story URLs, and more maintainable CI pipelines. Technologies demonstrated include browser context management, tuple-based signaling, dataclass usage for distillation data structures, and GitHub Actions CI tuning, translating into increased business value through higher_quality outputs and reduced maintenance overhead.
22 Commits • 11 Features
Oct 1, 2025Oct 2025 performance summary for mcp-getgather/mcp-getgather. Key distillation improvements delivered: core lifecycle and page management (proper page creation from the browser context and cleanup after distillation), clear distillation loop termination signaling using a tuple, and explicit distillation pattern and submit button handling. URL handling was strengthened with preloaded blocklists and absolute URLs for stories. CI and environment stability were improved by simplifying distillation CI environment variables, increasing container image build timeouts, and enforcing reasonable CI timeouts. Additional tooling enhancements included CNN tool integration (latest stories without sign-in) and short-lived MCP tooling refinements, contributing to more reliable automation. These changes collectively enable faster, more reliable distillation cycles, higher accuracy in story URLs, and more maintainable CI pipelines. Technologies demonstrated include browser context management, tuple-based signaling, dataclass usage for distillation data structures, and GitHub Actions CI tuning, translating into increased business value through higher_quality outputs and reduced maintenance overhead.
October 2025
September 2025
29 Commits • 22 Features
Sep 1, 2025September 2025 performance snapshot for mcp-getgather/mcp-getgather Overview: Expanded distillation tooling to cover major data sources, hardened reliability and observability, and streamlined the distillation workflow. Delivered a broad set of features across data extraction, page processing, and browser-based automation, while pruning legacy inspector code to reduce risk. Key features delivered (highlights below reference commits): - Distillation CLI logging improvements (#188) to improve observability during runs (commit 0f0b76eac888923e49da6aafdd69555623fc53cb) - Pattern discovery using glob for distillation (#189) enabling scalable pattern matching (commit 9ea6ca29e752d3eb287f3ad9ca9d872796e259b6) - Distillation CLI browser integration (#199) to reuse browser-based execution flow (commit cc83ce98455ad38d96ad80e66d160668e3b0944d) - NYTimes Bestsellers via Distillation MCP Tool (#211) expanding data sources (commit 93d1ac46351476105b4c7dedd04c5dfff51fe4da) - Use Deepwiki instead of GitDiagram (#249) for improved knowledge graph backing (commit 4a8bc518dd8911f1634409095f20a282a7d71891) - Move distillation patterns to getgather/mcp/patterns (#254) to centralize and reuse patterns (commit 73b41b1ebe18d93343b2400d4a0a468b10144792) - Distilled page prep for sign-in flow processing (#251) enabling secure onboarding flows (commit 3db38891e6fa3c6e98cfb1df68ea9021777c2ca2) - MCP tool for BBC using distillation (#252) extending tooling for BBC data (commit be56bf171156ff5040726b8d5eb9338f61944752) - Reuse browser profile by default (#258) to speed up repeatable distillation runs (commit 38837ed91a2ab640664e646fd31cf272204eed1b) - Adopt input value while filling (#293) to improve form automation reliability (commit a96d977572643a2d00b6141de3d570f5b7715348) - Distilled page: handle radio buttons (#307) improving interaction fidelity (commit 8e8319216202991a449033efd394857345cf8893) - Base MCP for distillation-based tools (#345) establishing a solid foundation for future tooling (commit 1e9cff413a4a92f79ed2ab62d8093cabe4d52599) - Distillation: skip loading images, videos, and fonts (#384) to speed processing and reduce bandwidth (commit fe9c131ca015cdbf6e2281836771f693af2bfab1) - Distillation: block more images/videos/fonts (#387) further performance optimizations (commit 6c43bced1626409e0dcdcd2a02d92eded31f71b3) - Migrate BBC to distillation-based MCP tool (#389) modernizing BBC data processing (commit 28f098a31d3274245ad5bc67abb3a3ca20058cc9) - Custom host and protocol for distilled page base URL (#385) enabling flexible environments (commit 2e5b1e45e4fbbe79172468aeeaaab00710fd2929) - Default scheme when creating distilled pages (#399) ensuring consistent URL handling (commit 1ff43f78e7d97b22eee18a23fbe47b5cbd41b1f3) - Ground News MCP tool: latest stories (#417) broadening data coverage (commit c598312f977e03f8555dfed7f3949e247d33f2b7) - MCP tool: NPR headlines (#404) expanding content sources (commit 58ffa64a542dd180d213654a6c587416b058c243) - Switch to TigerVNC for VNC backend (#419) modernizing remote rendering (commit 48cbdc0564fc1e218549833c8bf3631556eed0d8) - Enable sharing of VNC sessions (#420) enabling multi-user access (commit d26bf81c19346802bb85b6d0f990c12d63576bca) - Tailscale debugging for Dokku deployment (#421) improving remote deployment diagnostics (commit 0da028c80e0cfcd1fa0819f2a0677a9385435b7d) Major bugs fixed: - Fix autoclick during distillation (#192) (commit 60799611f03a2a5ae33ecdf213d8c9a62543c28a) - Fix autoimport by checking for the MCP class in the module source (#398) (commit f73db54707b7fc654a1b559724e9f38506486920) - Mark NYTimes test as flaky (#408) to reflect instability and guide improvement (commit c4c7120c4f1c677c9fed93f3a59efa13d0833d86) - Robustify DISLAY env for Xvfb (#412) (commit b4859213a6c7711980df5bd5da9c51cddee2ed2d) - Remove MCP Inspector docs (#414) (commit 7504abe3265af89e50b09931bb9b9b56e79a30dc) - Remove MCP inspector traces in package manifest (#415) (commit 48d0ce33d25a5ca17b2b8c9116671e411c624f61) - Remove various MCP inspector-related bits (#416) (commit 3e857ee55d284ea83090b32ce7141555c41bf20b) Overall impact and accomplishments: - Broadened data-collection scope with NPR, Ground News, NYTimes, and BBC distillation tools, enabling richer content curation and faster go-to-market for data products. - Strengthened reliability and speed: improved CLI observability, asset-sparing distillation, and robust environment handling (Xvfb), resulting in quicker feedback cycles and more predictable runs. - Reduced maintenance risk by removing legacy MCP inspector traces/docs and consolidating patterns and base tooling, simplifying future changes and audits. - Improved accessibility and collaboration through browser-based execution flows, reusable browser profiles, and streamlined sign-in/distilled page handling; also enabled shared remote access for VNC-backed workflows. Technologies and skills demonstrated: - Distillation framework, MCP tooling, and pattern discovery using glob; browser automation and page interaction improvements; URL handling and default scheme logic. - Infrastructure and deployment know-how: TigerVNC, VNC session sharing, and Tailscale-based debugging for Dokku deployments. - Quality and observability practices: CLI logging enhancements, test stability awareness, and asset-management optimizations to improve performance and reliability.
September 2025
29 Commits • 22 Features
Sep 1, 2025September 2025 performance snapshot for mcp-getgather/mcp-getgather Overview: Expanded distillation tooling to cover major data sources, hardened reliability and observability, and streamlined the distillation workflow. Delivered a broad set of features across data extraction, page processing, and browser-based automation, while pruning legacy inspector code to reduce risk. Key features delivered (highlights below reference commits): - Distillation CLI logging improvements (#188) to improve observability during runs (commit 0f0b76eac888923e49da6aafdd69555623fc53cb) - Pattern discovery using glob for distillation (#189) enabling scalable pattern matching (commit 9ea6ca29e752d3eb287f3ad9ca9d872796e259b6) - Distillation CLI browser integration (#199) to reuse browser-based execution flow (commit cc83ce98455ad38d96ad80e66d160668e3b0944d) - NYTimes Bestsellers via Distillation MCP Tool (#211) expanding data sources (commit 93d1ac46351476105b4c7dedd04c5dfff51fe4da) - Use Deepwiki instead of GitDiagram (#249) for improved knowledge graph backing (commit 4a8bc518dd8911f1634409095f20a282a7d71891) - Move distillation patterns to getgather/mcp/patterns (#254) to centralize and reuse patterns (commit 73b41b1ebe18d93343b2400d4a0a468b10144792) - Distilled page prep for sign-in flow processing (#251) enabling secure onboarding flows (commit 3db38891e6fa3c6e98cfb1df68ea9021777c2ca2) - MCP tool for BBC using distillation (#252) extending tooling for BBC data (commit be56bf171156ff5040726b8d5eb9338f61944752) - Reuse browser profile by default (#258) to speed up repeatable distillation runs (commit 38837ed91a2ab640664e646fd31cf272204eed1b) - Adopt input value while filling (#293) to improve form automation reliability (commit a96d977572643a2d00b6141de3d570f5b7715348) - Distilled page: handle radio buttons (#307) improving interaction fidelity (commit 8e8319216202991a449033efd394857345cf8893) - Base MCP for distillation-based tools (#345) establishing a solid foundation for future tooling (commit 1e9cff413a4a92f79ed2ab62d8093cabe4d52599) - Distillation: skip loading images, videos, and fonts (#384) to speed processing and reduce bandwidth (commit fe9c131ca015cdbf6e2281836771f693af2bfab1) - Distillation: block more images/videos/fonts (#387) further performance optimizations (commit 6c43bced1626409e0dcdcd2a02d92eded31f71b3) - Migrate BBC to distillation-based MCP tool (#389) modernizing BBC data processing (commit 28f098a31d3274245ad5bc67abb3a3ca20058cc9) - Custom host and protocol for distilled page base URL (#385) enabling flexible environments (commit 2e5b1e45e4fbbe79172468aeeaaab00710fd2929) - Default scheme when creating distilled pages (#399) ensuring consistent URL handling (commit 1ff43f78e7d97b22eee18a23fbe47b5cbd41b1f3) - Ground News MCP tool: latest stories (#417) broadening data coverage (commit c598312f977e03f8555dfed7f3949e247d33f2b7) - MCP tool: NPR headlines (#404) expanding content sources (commit 58ffa64a542dd180d213654a6c587416b058c243) - Switch to TigerVNC for VNC backend (#419) modernizing remote rendering (commit 48cbdc0564fc1e218549833c8bf3631556eed0d8) - Enable sharing of VNC sessions (#420) enabling multi-user access (commit d26bf81c19346802bb85b6d0f990c12d63576bca) - Tailscale debugging for Dokku deployment (#421) improving remote deployment diagnostics (commit 0da028c80e0cfcd1fa0819f2a0677a9385435b7d) Major bugs fixed: - Fix autoclick during distillation (#192) (commit 60799611f03a2a5ae33ecdf213d8c9a62543c28a) - Fix autoimport by checking for the MCP class in the module source (#398) (commit f73db54707b7fc654a1b559724e9f38506486920) - Mark NYTimes test as flaky (#408) to reflect instability and guide improvement (commit c4c7120c4f1c677c9fed93f3a59efa13d0833d86) - Robustify DISLAY env for Xvfb (#412) (commit b4859213a6c7711980df5bd5da9c51cddee2ed2d) - Remove MCP Inspector docs (#414) (commit 7504abe3265af89e50b09931bb9b9b56e79a30dc) - Remove MCP inspector traces in package manifest (#415) (commit 48d0ce33d25a5ca17b2b8c9116671e411c624f61) - Remove various MCP inspector-related bits (#416) (commit 3e857ee55d284ea83090b32ce7141555c41bf20b) Overall impact and accomplishments: - Broadened data-collection scope with NPR, Ground News, NYTimes, and BBC distillation tools, enabling richer content curation and faster go-to-market for data products. - Strengthened reliability and speed: improved CLI observability, asset-sparing distillation, and robust environment handling (Xvfb), resulting in quicker feedback cycles and more predictable runs. - Reduced maintenance risk by removing legacy MCP inspector traces/docs and consolidating patterns and base tooling, simplifying future changes and audits. - Improved accessibility and collaboration through browser-based execution flows, reusable browser profiles, and streamlined sign-in/distilled page handling; also enabled shared remote access for VNC-backed workflows. Technologies and skills demonstrated: - Distillation framework, MCP tooling, and pattern discovery using glob; browser automation and page interaction improvements; URL handling and default scheme logic. - Infrastructure and deployment know-how: TigerVNC, VNC session sharing, and Tailscale-based debugging for Dokku deployments. - Quality and observability practices: CLI logging enhancements, test stability awareness, and asset-management optimizations to improve performance and reliability.
August 2025
15 Commits • 6 Features
Aug 1, 2025August 2025 highlights for the mcp-getgather project: delivered remote debugging enhancements, automated multi-arch container pipelines, improved reliability through health checks and logging, and refreshed branding/docs to reflect GHCR deployment and regional storefronts, while boosting developer experience with Nix and GCR base image optimizations.
15 Commits • 6 Features
Aug 1, 2025August 2025 highlights for the mcp-getgather project: delivered remote debugging enhancements, automated multi-arch container pipelines, improved reliability through health checks and logging, and refreshed branding/docs to reflect GHCR deployment and regional storefronts, while boosting developer experience with Nix and GCR base image optimizations.
August 2025
July 2025
43 Commits • 14 Features
Jul 1, 2025July 2025 summary: Established a production-ready foundation for mcp-getgather with a solid core platform, API surface, quality gates, observability, and deployment readiness. This enables faster, safer feature delivery and scalable operations for future growth.
July 2025
43 Commits • 14 Features
Jul 1, 2025July 2025 summary: Established a production-ready foundation for mcp-getgather with a solid core platform, API surface, quality gates, observability, and deployment readiness. This enables faster, safer feature delivery and scalable operations for future growth.
Activity
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Quality Metrics
Correctness90.2%
Maintainability91.2%
Architecture89.2%
Performance83.0%
AI Usage20.6%
Skills & Technologies
Programming Languages
BashCSSDockerfileGit AttributesGit IgnoreHTMLJavaScriptMarkdownPythonSVG
Technical Skills
API DevelopmentAPI IntegrationAPI TestingAsync ProgrammingAsynchronous ProgrammingAuthenticationAutomationBackend DevelopmentBrowser AutomationBuild OptimizationBuild System ManagementCI/CDCLI DevelopmentCloud DeploymentCode Abstraction
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