GREB - A MCP code search tool

Lightning-fast intelligent code search for AI coding agents - no indexing needed

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Updated Jul 2026 · Added Jun 2026

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What is Greb?

GREB is an MCP code search tool designed to accelerate coding agents like Claude Code, Cursor, Windsurf, and Cheetah AI. It combines lexical precision with semantic understanding to retrieve relevant code context without requiring indexing, delivering 30% faster performance and 20% token reduction. Built for developers and AI engineers who need intelligent code retrieval with natural language queries instead of complex regex patterns.

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Key Features of Greb

Lightning-fast context retrieval
Natural Language Query System
MCP Server Support for AI assistants
REST API Integration
AI Relevance Ranking
No indexing required
Semantic code understanding
Always fresh results
Token-optimized processing

Who Should Use Greb?

Accelerate coding agents with precise context retrieval

Support natural language code search for developers

Integrate intelligent code search into AI development workflows

Reduce token usage in AI-assisted coding

Streamline context fetching for RAG systems

Greb: Pros & Cons

✓Pros

30% faster time performance compared to alternatives
20% token reduction on coding agents
No indexing overhead - always fresh results
Higher accuracy (70% F0.5 score) than grep and vector approaches
Natural language queries instead of regex
Seamless integration with major coding agents (Cursor, Windsurf, GitHub Copilot)
Optimized for massive codebases
Agent-ready context understanding

Frequently Asked Questions about Greb

Does GREB work as an MCP server with Claude Code and Cursor?

Yes. GREB is built as an MCP server and integrates directly with Claude Code, Cursor, Windsurf, and Cheetah AI. It also offers a REST API for workflows that need programmatic access to code search.

How does GREB retrieve code without indexing?

GREB combines lexical and semantic analysis to search code on the fly without pre-building an index, which means your results always reflect the current state of your codebase. This approach eliminates the setup overhead while maintaining 70% F0.5 accuracy across grep and vector search methods.

Can I search code using natural language instead of regex patterns?

Yes. GREB's natural language query system lets you describe what you're looking for in plain English rather than write regex. The tool's AI relevance ranking surfaces the most contextually useful results first, which is particularly useful when feeding code snippets to AI agents.

How much does GREB cost?

GREB operates on a freemium model, though the pricing page does not detail what the free tier includes or what paid plans cost. Check their site before committing to a workflow.