Code Context is an MCP (Model Context Protocol) plugin for semantic code search. It integrates with Claude Code, Gemini CLI, Cursor, or any AI coding agents, providing developers with semantic-based code search capabilities that significantly enhance code understanding and retrieval efficiency.
Key Features
- Semantic Search: Semantic search capabilities based on vector databases, going beyond traditional keyword matching
- MCP Integration: Fully compatible with Model Context Protocol for seamless integration with various AI tools
- Multi-platform Support: Supports integration with mainstream AI coding tools like Claude Code, Gemini CLI, and Cursor
- Efficient Retrieval: Quickly retrieve relevant code snippets to improve development efficiency
- Context Understanding: Deeply understand code semantics to provide more accurate search results
Use Cases
Code Context is particularly suitable for the following scenarios:
- Quickly finding related functional code in large codebases
- Understanding code logic and dependencies in complex projects
- Finding all related code snippets when refactoring code
- Quickly locating key implementations when learning open-source projects
- Quickly finding related contextual information during code reviews
With Code Context, developers can move beyond traditional filename or keyword-based search methods and directly use semantic understanding to find the code they need.
