An MCP server that gives AI agents structured code understanding and precise code intelligence via local indexing of AST, call graphs, and semantic search.
An MCP server that empowers AI coding agents to work effectively with Minecraft mod development, providing static analysis of decompiled source code and runtime interaction with a running Minecraft instance.
Exposes Eclipse JDT Language Server to AI agents via MCP. Embedded OSGi architecture runs jdtls in the same JVM — no subprocess, no network hop. Tools: hover, definition, references, completion, diagnostics, document & workspace symbols.
An MCP server that gives coding agents IDE-like access to JVM classpaths by querying the actual build tool, providing precise source code, signatures, and structure without cache-walking or version guesswork.
A lightweight MCP server that enables AI agents to perform deep codebase analysis by leveraging Gemini's massive context window for cross-file analysis and intelligent file selection.