GREB by Cheetah AI

GREB is an intelligent code search tool that uses the Model Context Protocol (MCP) to assist AI coding assistants like Claude Code, Cursor, Windsurf, and Cheetah AI. It allows users to find code instantly using natural language queries, offering a solution that is better and faster than RAG, and requires no indexing. Powered by Cerebras ultra-fast inference and GPU acceleration, GREB helps coding agents retrieve precise code chunks with high speed and relevance, ensuring the most relevant results first through its AI Relevance Ranking.

How to Use

To use GREB, simply add the MCP configuration to your coding agent. Then, use natural language queries (plain English) to search for code, and GREB will retrieve the precise code chunks for your agent. It also offers seamless integration with REST API for custom applications.

Key Features

• Intelligent code search via MCP
• Natural Language Query System (NQS)
• AI-Powered Code Ranking (AI Relevance Ranking)
• Ultra-fast inference and GPU acceleration (Fast Processing)
• MCP Server Support for AI assistant integration
• Seamless REST API Integration

Use Cases

• Finding specific functions (e.g., 'user authentication function') using natural language queries.
• Providing AI coding agents with perfect, contextual code chunks for enhanced effectiveness.
• Supercharging coding workflows with lightning-fast code search on massive codebases.
• Building custom applications with seamless REST API integration for code retrieval.