
Egor implemented performance tuning for Claude MCP in the datafold/helm-charts repository, focusing on output token configuration and timeout adjustments. He introduced a configurable maximum MCP output tokens cap, setting a default of 30,000 via Helm values while allowing overrides for higher limits as needed. Using YAML and Helm, Egor enhanced the chart’s configurability and reliability, reducing the risk of timeouts during peak processing loads. His work centered on configuration management and DevOps best practices, delivering safer defaults for production deployments. The changes addressed throughput and reliability concerns, reflecting a thoughtful approach to Kubernetes deployment and Helm chart optimization.
For Oct 2025, implemented Claude MCP Output Token Configuration and Timeout Tuning in the datafold/helm-charts repository, introducing performance tuning for Claude MCP with increased timeout and a configurable maximum MCP output tokens cap. Also set a default claude_max_mcp_output_tokens to 30,000 via Helm values, with an override path for higher values as needed. These changes improve reliability and throughput of Claude MCP processing under load and provide safer defaults for production deployments.
For Oct 2025, implemented Claude MCP Output Token Configuration and Timeout Tuning in the datafold/helm-charts repository, introducing performance tuning for Claude MCP with increased timeout and a configurable maximum MCP output tokens cap. Also set a default claude_max_mcp_output_tokens to 30,000 via Helm values, with an override path for higher values as needed. These changes improve reliability and throughput of Claude MCP processing under load and provide safer defaults for production deployments.

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