LSP4J

About

LSP4J-MCP serves as a crucial intermediary, translating the advanced code intelligence of the Eclipse JDT Language Server (JDTLS) into a format accessible by AI assistants like Claude via the Model Context Protocol (MCP). This integration empowers large language models with sophisticated Java IDE capabilities, enabling them to navigate, analyze, and understand Java codebases effectively. It facilitates tasks ranging from locating symbol definitions and references to exploring project structure and identifying method implementations across interfaces, significantly enhancing AI's ability to interact with and process Java code.

Key Features

• Find all references to a specific symbol or code location
• Identify interfaces containing a method with a given name
• Search for Java symbols (classes, methods, fields) by name
• Retrieve all symbols defined within a Java file
• 4 GitHub stars
• Navigate directly to the definition of any symbol

Use Cases

• Enabling AI to perform code navigation tasks like finding references and definitions for refactoring suggestions or code exploration.
• Empowering AI to answer specific code-related queries, such as identifying interfaces with particular methods or providing overviews of file structures.
• Assisting AI in understanding Java codebase structure and symbol definitions for analysis and generation tasks.