In November 2025, Alex Gilmore enhanced the docker/mcp-registry repository by introducing a configurable schema sample size parameter for Neo4j queries. This feature, implemented using YAML and leveraging skills in configuration and database management, allowed teams to fine-tune data sampling directly within production-ready configurations. By enabling precise control over how much schema data is sampled, Alex’s work supported more reliable analytics and testing workflows, as well as targeted performance planning for analytics workloads. The depth of the contribution lay in its focus on operational flexibility, addressing a specific need for customizable data sampling in complex Neo4j-driven environments without introducing bugs.