How to Connect Eclipse JDT Language Server to Claude Code for Smarter Java Refactoring

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Developers using Claude Code for Java refactoring face a key limitation: the AI treats source files as plain text, missing runtime polymorphism, Spring bean hierarchies, and complex annotations. Without access to an Abstract Syntax Tree, the model resorts to guessing, which can produce hallucinated method signatures and broken builds. A proposed solution involves exposing a local Eclipse JDT Language Server to Claude Code via the Model Context Protocol, allowing the AI to run compiler-grade semantic queries instead of raw text searches. This is configured through a custom mcpConfig.json file that routes Java-specific lookups directly to the JDT LS daemon running on the developer's machine. The approach aims to give AI coding assistants the same type-system awareness a human engineer would have, reducing refactoring regressions in large Spring Boot codebases.

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