GraphContext MCP

GraphContext MCP is a sophisticated, privacy-first AI suite that natively integrates with popular coding assistants like Cursor and Claude Desktop. Acting as a structural “brain” for AI agents, it evaluates codebase dependencies by constructing Heterogeneous Code Property Graphs locally, preventing the high token costs and lost context typical of standard chunk-based RAG.

From an architectural standpoint, GraphContext employs deterministic sub-millisecond AST parsing via Tree-sitter and generates local semantic code embeddings using Apple’s MLX framework. By running Graph Neural Network (GNN) inferences directly on local Apple Silicon, it predicts the “blast radius” of code changes securely without ever sending proprietary code to the cloud.

The base GraphSAGE model was pre-trained using a massive corpus of historical bug-fix commits processed via PySpark and PyTorch Geometric on an HPC cluster. This intelligence powers a deterministic predictive engine natively on macOS. Its business value is further augmented by secure tier gating and real-time live-sync IDE integration, ensuring development speed is never bottlenecked by outdated structural cache invalidation.