IvanMurzak/Unity-MCP
Feb 2026 – Feb 2026
1 Month active
Languages Used
C#
Technical Skills
AI IntegrationC#C# ProgrammingGame DevelopmentSoftware ArchitectureSoftware Configuration
Yokesh-4040
PROFILE
Yokesh-4040
IvanMurzak developed a Rider-based AI agent configurator for the Unity-MCP repository, focusing on integrating Junie transport support within the Unity plugin. Using C# and Unity, Ivan reworked the configurator’s architecture to enforce project-local configuration, streamline workflows, and standardize agent naming, which improved deployability and developer experience. The work included UI enhancements, updated setup guidance, and stability-focused deserialization changes to ensure reliable AI tool execution. Ivan also exposed key configuration fields for extensibility and removed legacy code, resulting in a leaner, more maintainable solution. This month’s contributions addressed both feature delivery and bug resolution with attention to code quality.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
9Total
Bugs
1
Commits
9
Features
1
Lines of code
1,273
Activity Months1
Your Network
13 peopleWork History
February 2026
9 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for IvanMurzak/Unity-MCP: Focused on delivering a lean, reliable Rider-based AI agent configurator integration for Junie transport, enhancing Unity MCP plugin support, and streamlining configuration workflows. The work emphasized business value through improved deployability of AI agents, tighter integration with Unity, and clearer developer experience, while maintaining stability for AI tool executions.
9 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for IvanMurzak/Unity-MCP: Focused on delivering a lean, reliable Rider-based AI agent configurator integration for Junie transport, enhancing Unity MCP plugin support, and streamlining configuration workflows. The work emphasized business value through improved deployability of AI agents, tighter integration with Unity, and clearer developer experience, while maintaining stability for AI tool executions.
February 2026
Activity
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Quality Metrics
Correctness86.6%
Maintainability84.6%
Architecture84.4%
Performance84.6%
AI Usage37.8%
Skills & Technologies
Programming Languages
C#
Technical Skills
AI IntegrationC#C# ProgrammingGame DevelopmentSoftware ArchitectureSoftware ConfigurationUI DevelopmentUnityUnity Developmentgame development
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