MyGO is a tool for multimodal knowledge graph completion. It processes discrete modal information as fine-grained labels to enhance completion accuracy. MyGO utilizes the transformers library to embed text labels and trains and evaluates on multimodal datasets. It supports custom datasets and provides training scripts for replicating experimental results.