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
Petrus Werner addressed a connectivity issue in the mckinsey/agents-at-scale-ark repository by improving the reliability of local development environments using Minikube. He resolved the problem by configuring the HTTP MCP server to bind to 0.0.0.0 and updating deployment YAML files to use a Minikube-compatible address, ensuring consistent MCP testing for developers. Petrus also revised the server documentation and sample configuration to reflect these changes, reducing setup friction and clarifying usage. His work demonstrated practical application of configuration management, Kubernetes, and Python development skills, focusing on targeted bug fixing and documentation updates rather than introducing new features during this period.
Overall Statistics
Feature vs Bugs
0%Features
Repository Contributions
1Total
Bugs
1
Commits
1
Features
0
Lines of code
13
Activity Months1
Your Network
51 peopleWork 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
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance60.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonYAML
Technical Skills
Configuration ManagementDocumentationKubernetesPython Development
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