Enables LLMs to perform high-performance code search and analysis across multiple languages using symbol indexing, regex text search, and structural AST pattern matching. It also provides tools for technology stack detection and dependency analysis with persistent caching for optimized performance.
OpenGrok MCP Server is a native Model Context Protocol (MCP) VS Code extension that seamlessly bridges the gap between your organization's OpenGrok indices and GitHub Copilot Chat. It arms your AI assistant with the deep, instantaneous repository context required to traverse, understand, and search massive codebases using only natural language.
Enables searching and reading Android Open Source Project (AOSP) source code via cs.android.com, with support for regex search, file content retrieval, and symbol suggestions.
Enables LLM agents to efficiently understand and navigate a codebase by providing semantic search over symbols and a reference graph, replacing expensive grep/glob calls with structured tools like definition lookup, caller/callee queries, and change-impact analysis.