DeepContext
Provides AI coding agents with symbol-aware semantic search for precise context on large codebases.
Acerca de
DeepContext is an MCP (Model Context Protocol) server designed to enhance the capabilities of AI coding agents like Claude Code and Codex CLI. It addresses the limitations of traditional text-based search (e.g., `grep`), which often floods agents with irrelevant information, especially in large code repositories. By implementing symbol-aware semantic search, DeepContext intelligently identifies and returns only the most relevant code chunks, leveraging AST-based parsing and a hybrid search approach combining vector similarity and BM25 with Jina reranking. This precise context provision leads to reduced token usage, faster search results, fewer AI hallucinations, and ultimately, more efficient and accurate coding assistance.
Características Principales
- Symbol-aware semantic search for precise code understanding
- Reduced token usage by returning only relevant code chunks
- Fast search through pre-indexed codebase data
- AST-based parsing for deep code structure analysis
- Hybrid search with reranking for optimal relevance
- 10 GitHub stars
Casos de Uso
- Enhancing Claude Code's understanding of large codebases
- Improving context provision for Codex CLI sessions
- Accelerating development by providing smarter context to various AI coding agents
