mondaycom/mcp
Jun 2026 – Jul 2026
2 Months active
Languages Used
TypeScriptJavaScript
Technical Skills
API developmentTypeScriptfull stack developmentAPI integrationGraphQL
Andrei Yurashevich
PROFILE
Andrei Yurashevich
Worked on the mondaycom/mcp repository to deliver a more reliable and user-friendly search system by refining API input validation and standardizing search workflows. Focused on enforcing required fields, normalizing searchType inputs, and removing legacy search paths to reduce errors and improve predictability. Leveraged TypeScript and GraphQL to implement robust input contracts, ensuring that searchTerm and ID arrays were validated and correctly formatted. Enhanced API documentation and tooling descriptions to clarify expected data shapes and enum values, which reduced misuse by language models and improved developer onboarding. The work resulted in fewer erroneous tool invocations and a more stable search experience.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
2,997
Activity Months2
Your Network
114 peopleWork History
July 2026
2 Commits • 1 Features
Jul 1, 2026July 2026 monthly summary for mondaycom/mcp focused on delivering a robust, user-friendly Search System, stabilizing the search API, and driving measurable business value through safer queries and improved UX.
2 Commits • 1 Features
Jul 1, 2026July 2026 monthly summary for mondaycom/mcp focused on delivering a robust, user-friendly Search System, stabilizing the search API, and driving measurable business value through safer queries and improved UX.
July 2026
June 2026
1 Commits • 1 Features
Jun 1, 2026June 2026 monthly summary for mondaycom/mcp focused on tightening search tool integration to boost reliability and reduce LLM-induced misuse. Delivered clear, validated input specifications and robust tooling descriptions, anchored by a concrete fix in the agent toolkit. Key improvements: - Strengthened search tool input contract: required fields, exact enum values, and data shapes to prevent miscalls by language models. - Explicitly documented and enforced field semantics (workspaceIds for FOLDERS search; searchTerm required for ITEMS, WORKSPACES, and UPDATES; boardIds/workspaceIds/creatorIds as arrays of numbers; pagination caveats when searchTerm is provided). - Improved API docs and tool specs to reflect the exact enum names and expected formats, enhancing developer onboarding and reliability. Selected deliverables and commits: - Feature/bug: Search Tool Description Clarity and Validation (repo: mondaycom/mcp). Commit: 3615cfc1e63cd45fbec6bf23921813c630b9af3b Message: fix(agent-toolkit): fix search tool description gaps causing LLM misuse (#405) — addressed misleading/incomplete field descriptions that caused LLMs to call the search tool incorrectly. Overall impact: - Reduced erroneous tool invocations by LLMs, improved user understanding and tool accuracy, and strengthened cross-team alignment on input contracts. Technologies/skills demonstrated: - Input validation, API spec clarity, enum and data shape enforcement, and documentation-driven reliability.
June 2026
1 Commits • 1 Features
Jun 1, 2026June 2026 monthly summary for mondaycom/mcp focused on tightening search tool integration to boost reliability and reduce LLM-induced misuse. Delivered clear, validated input specifications and robust tooling descriptions, anchored by a concrete fix in the agent toolkit. Key improvements: - Strengthened search tool input contract: required fields, exact enum values, and data shapes to prevent miscalls by language models. - Explicitly documented and enforced field semantics (workspaceIds for FOLDERS search; searchTerm required for ITEMS, WORKSPACES, and UPDATES; boardIds/workspaceIds/creatorIds as arrays of numbers; pagination caveats when searchTerm is provided). - Improved API docs and tool specs to reflect the exact enum names and expected formats, enhancing developer onboarding and reliability. Selected deliverables and commits: - Feature/bug: Search Tool Description Clarity and Validation (repo: mondaycom/mcp). Commit: 3615cfc1e63cd45fbec6bf23921813c630b9af3b Message: fix(agent-toolkit): fix search tool description gaps causing LLM misuse (#405) — addressed misleading/incomplete field descriptions that caused LLMs to call the search tool incorrectly. Overall impact: - Reduced erroneous tool invocations by LLMs, improved user understanding and tool accuracy, and strengthened cross-team alignment on input contracts. Technologies/skills demonstrated: - Input validation, API spec clarity, enum and data shape enforcement, and documentation-driven reliability.
Activity
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Quality Metrics
Correctness100.0%
Maintainability86.6%
Architecture93.4%
Performance86.6%
AI Usage60.0%
Skills & Technologies
Programming Languages
JavaScriptTypeScript
Technical Skills
API developmentAPI integrationGraphQLTypeScriptfull stack development
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