The adoption of AI-powered code completion tools in software development has increased substantially, yet the user interaction data produced by these systems remain proprietary within large corporations. This creates a barrier for the academic community, as researchers must often develop dedicated platforms to conduct studies on human-AI interaction, making reproducible research and large-scale data analysis impractical. In this work, we introduce Code4Me V2, a research-oriented, open-source code completion plugin for JetBrains IDEs, as a solution to this limitation. Code4Me V2 is designed using a client-server architecture and features inline code completion and a context-aware chat assistant. Its core contribution is a modular and transparent data collection framework that gives researchers fine-grained control over telemetry and context gathering. Code4Me V2 achieves industry-comparable performance in terms of code completion, with an average latency of 200ms. We assess our tool through a combination of an expert evaluation and a user study with eight participants. Feedback from both researchers and daily users highlights its informativeness and usefulness. We invite the community to adopt and contribute to this tool. More information about the tool can be found on https://app.code4me.me. ... Read more