mondaycom/mcp
Mar 2026 – Apr 2026
2 Months active
Languages Used
GraphQLTypeScriptJavaScript
Technical Skills
API developmentGraphQLfull stack developmenttestingAPI DevelopmentFull Stack Development
Noa-Reuven
PROFILE
Noa-reuven
Noa Reu developed and enhanced document version history features for the mondaycom/mcp repository, focusing on robust API and full stack development using GraphQL, JavaScript, and TypeScript. Over two months, Noa unified version history and diff support within the read_docs tool, introducing date filtering, agent attributions, and improved error handling. The technical approach included parallelized diff retrieval, capped parallelism, and expanded automated testing to ensure reliability and maintainability. Noa also restored and updated the doc comments API, aligning tooling and type generation pipelines. These contributions improved document traceability, auditability, and workflow reliability for editors and compliance stakeholders.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
5Total
Bugs
1
Commits
5
Features
2
Lines of code
1,773
Activity Months2
Your Network
81 peopleWork History
April 2026
2 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary for mondaycom/mcp focusing on key features, bugs fixed, and impact. Delivered enhancements to document version history with agent attributions and restored critical doc comments API, with supporting toolkit and codegen work to enable future type updates. Key developments: - Version History with Agent Attributions: Exposed agent_attributions in GetDocVersionHistory restoring points, enabling visibility of which AI agents modified a document's version history. - Doc Comments Restoration: Re-enabled getDocComments API/query to maintain doc-comment retrieval functionality and ensure compatibility with new features. - Enhanced attribution detail in history: Added agent_id, entity_type, and agent_name to restoring_points for richer auditing context. - Tooling and codegen readiness: Bumped agent-toolkit to 4.2.2 and 5.1.4 in relevant commits and prepared for type updates via npm run codegen once docs-api PRs are merged. Business value and technical impact: - Improved traceability and auditability of AI-driven edits, supporting compliance and faster incident investigation. - More reliable doc history and comments workflows, reducing support load and user frustration. - Clearer alignment between API surface, tooling, and downstream type generation pipelines.
2 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary for mondaycom/mcp focusing on key features, bugs fixed, and impact. Delivered enhancements to document version history with agent attributions and restored critical doc comments API, with supporting toolkit and codegen work to enable future type updates. Key developments: - Version History with Agent Attributions: Exposed agent_attributions in GetDocVersionHistory restoring points, enabling visibility of which AI agents modified a document's version history. - Doc Comments Restoration: Re-enabled getDocComments API/query to maintain doc-comment retrieval functionality and ensure compatibility with new features. - Enhanced attribution detail in history: Added agent_id, entity_type, and agent_name to restoring_points for richer auditing context. - Tooling and codegen readiness: Bumped agent-toolkit to 4.2.2 and 5.1.4 in relevant commits and prepared for type updates via npm run codegen once docs-api PRs are merged. Business value and technical impact: - Improved traceability and auditability of AI-driven edits, supporting compliance and faster incident investigation. - More reliable doc history and comments workflows, reducing support load and user frustration. - Clearer alignment between API surface, tooling, and downstream type generation pipelines.
April 2026
March 2026
3 Commits • 1 Features
Mar 1, 2026March 2026 Performance Summary: Delivered a unified Document Version History capability within the MCP ecosystem by integrating version history and diff support into the read_docs tool, with date filtering and content retrieval. This included new GraphQL queries (doc_version_history and doc_version_diff), a mode-based read_docs surface (content vs version_history), and a version_history_limit control for bounded results. Fixed critical data-id mapping and API consistency issues (object_id usage, IDs fallback, removal of redundant doc_id field) to simplify integration and reduce errors. Implemented robust, scalable diff retrieval with parallel fetching (Promise.allSettled), capped parallelism (MAX_DIFF_POINTS) to prevent API fan-out, and enhanced error handling for partial failures. Expanded testing and tooling (codegen for typed GraphQL queries, 21 tests across scenarios) to improve maintainability and ensure MCP conventions are followed. Business impact includes faster, auditable document history insights, improved collaboration for editors, and stronger governance support.
March 2026
3 Commits • 1 Features
Mar 1, 2026March 2026 Performance Summary: Delivered a unified Document Version History capability within the MCP ecosystem by integrating version history and diff support into the read_docs tool, with date filtering and content retrieval. This included new GraphQL queries (doc_version_history and doc_version_diff), a mode-based read_docs surface (content vs version_history), and a version_history_limit control for bounded results. Fixed critical data-id mapping and API consistency issues (object_id usage, IDs fallback, removal of redundant doc_id field) to simplify integration and reduce errors. Implemented robust, scalable diff retrieval with parallel fetching (Promise.allSettled), capped parallelism (MAX_DIFF_POINTS) to prevent API fan-out, and enhanced error handling for partial failures. Expanded testing and tooling (codegen for typed GraphQL queries, 21 tests across scenarios) to improve maintainability and ensure MCP conventions are followed. Business impact includes faster, auditable document history insights, improved collaboration for editors, and stronger governance support.
Activity
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Quality Metrics
Correctness96.0%
Maintainability88.0%
Architecture92.0%
Performance88.0%
AI Usage68.0%
Skills & Technologies
Programming Languages
GraphQLJavaScriptTypeScript
Technical Skills
API DevelopmentAPI developmentFull Stack DevelopmentGraphQLfull stack developmenttesting
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