mckinsey/agents-at-scale-ark
Oct 2025 – Oct 2025
1 Month active
Languages Used
PythonYAML
Technical Skills
Configuration ManagementDocumentationKubernetesPython Development
Petrus Werner-STH
PROFILE
Petrus Werner-sth
Worked on the mckinsey/agents-at-scale-ark repository to resolve a connectivity issue affecting custom MCP servers running in Minikube environments. Addressed the problem by updating the HTTP MCP server to bind to 0.0.0.0 and revising deployment YAML configurations, ensuring compatibility with Minikube’s networking model. Enhanced the local development experience by reducing setup friction and enabling consistent MCP testing. Updated documentation and sample configuration files to reflect the new minikube-friendly address, supporting clearer onboarding for developers. Utilized skills in Kubernetes, configuration management, and Python development, with changes focused on improving reliability and maintainability for both code and deployment processes.
Overall Statistics
Feature vs Bugs
0%Features
Repository Contributions
1Total
Bugs
1
Commits
1
Features
0
Lines of code
13
Activity Months1
Your Network
52 peopleShared Repositories
32
Work History
October 2025
1 Commits
Oct 1, 2025Month 2025-10 — Delivered targeted MCP connectivity fix for Minikube in mckinsey/agents-at-scale-ark, improved local development reliability, and updated deployment docs. The change ensures the HTTP MCP server binds to 0.0.0.0 and uses a Minikube-friendly address (http://host.minikube.internal:8000/mcp), reducing setup friction for developers and enabling consistent MCP testing.
1 Commits
Oct 1, 2025Month 2025-10 — Delivered targeted MCP connectivity fix for Minikube in mckinsey/agents-at-scale-ark, improved local development reliability, and updated deployment docs. The change ensures the HTTP MCP server binds to 0.0.0.0 and uses a Minikube-friendly address (http://host.minikube.internal:8000/mcp), reducing setup friction for developers and enabling consistent MCP testing.
October 2025
Activity
Loading activity data...
Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance60.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonYAML
Technical Skills
Configuration ManagementDocumentationKubernetesPython Development
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline