mondaycom/mcp
Feb 2026 – Apr 2026
3 Months active
Languages Used
GraphQLJSONTypeScriptJavaScript
Technical Skills
API DevelopmentGraphQLTestingTypeScriptpackage managementversion control
Linoy Margan
PROFILE
Linoy Margan
Linoy Maor contributed to the mondaycom/mcp repository by building and enhancing document automation and collaboration features over a three-month period. They developed APIs and tools in TypeScript and GraphQL to enable automated Markdown content insertion, granular document updates, and AI-assisted commenting with block-level and text-range anchors. Their work included exposing object identifiers in GraphQL mutation responses, improving document editing workflows, and ensuring compliance with Delta formatting standards. Linoy also strengthened annotation pipelines with robust validation and comprehensive testing, delivering precise, context-aware review capabilities. These contributions improved developer velocity, document workflow automation, and the reliability of collaborative editing features.
Overall Statistics
Feature vs Bugs
80%Features
Repository Contributions
7Total
Bugs
1
Commits
7
Features
4
Lines of code
3,626
Activity Months3
Your Network
81 peopleWork History
April 2026
1 Commits • 1 Features
Apr 1, 2026April 2026: Delivered AI-assisted commenting enhancements in mondaycom/mcp by enabling block-level and text-range anchors in the documents editor, aligning AI comment UX with the native editor and enabling precise, cross-block annotations. Strengthened the annotation pipeline, expanded multi-block anchoring, and improved reliability with extensive validation and tests. Implementations span updates to the docs tool, block-related delta formatting, and robust error handling, supported by a targeted codegen and tooling sweep.
1 Commits • 1 Features
Apr 1, 2026April 2026: Delivered AI-assisted commenting enhancements in mondaycom/mcp by enabling block-level and text-range anchors in the documents editor, aligning AI comment UX with the native editor and enabling precise, cross-block annotations. Strengthened the annotation pipeline, expanded multi-block anchoring, and improved reliability with extensive validation and tests. Implementations span updates to the docs tool, block-related delta formatting, and robust error handling, supported by a targeted codegen and tooling sweep.
April 2026
March 2026
4 Commits • 2 Features
Mar 1, 2026Month 2026-03 Monthly Summary for mondaycom/mcp: Delivered two high-impact features and resolved a rendering bug, significantly enhancing API usability, editor capabilities, and rendering reliability.
March 2026
4 Commits • 2 Features
Mar 1, 2026Month 2026-03 Monthly Summary for mondaycom/mcp: Delivered two high-impact features and resolved a rendering bug, significantly enhancing API usability, editor capabilities, and rendering reliability.
February 2026
2 Commits • 1 Features
Feb 1, 2026February 2026 (Month: 2026-02) performance summary for mondaycom/mcp. Focus was on delivering a new programmatic content-management capability and integrating it into the existing automation toolkit. No major bugs fixed were reported in this dataset. The primary impact is enabling automated insertion of Markdown content into documents via a new API and the add_content_to_doc tool, accelerating document updates and ensuring consistency across documents. This work lays groundwork for broader automation in document workflows and improves developer velocity for document-related features.
2 Commits • 1 Features
Feb 1, 2026February 2026 (Month: 2026-02) performance summary for mondaycom/mcp. Focus was on delivering a new programmatic content-management capability and integrating it into the existing automation toolkit. No major bugs fixed were reported in this dataset. The primary impact is enabling automated insertion of Markdown content into documents via a new API and the add_content_to_doc tool, accelerating document updates and ensuring consistency across documents. This work lays groundwork for broader automation in document workflows and improves developer velocity for document-related features.
February 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability85.8%
Architecture97.2%
Performance85.8%
AI Usage54.2%
Skills & Technologies
Programming Languages
GraphQLJSONJavaScriptTypeScript
Technical Skills
API DevelopmentAPI developmentGraphQLTestingTypeScriptfull stack developmentpackage managementversion control
Repositories Contributed To
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