GREB - A MCP code search tool
Lightning-fast intelligent code search for AI coding agents - no indexing needed
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.
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.
Greb vs. Top Alternatives
Compare Greb with similar tools in the same category.
| Tool | Tagline | Pricing |
|---|---|---|
| GREB - A MCP code search toolThis tool | Lightning-fast intelligent code search for AI coding agents - no indexing needed | Free |
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| WWhatGPT - Intelligent Automation for Messaging Efficiency | Enhance your messaging with intelligent automation. | Free |
| SSourcegraph - Search and understand large codebases instantly | Master your codebase with powerful search and intelligent context. | Free |
| GGapier - GPT Automation and Workflow Enhancement | Enhance your GPT experience with powerful automation tools. | Free |
| SSymphony - Write Code Using Voice Commands | Code conversations that bring your ideas to life. | Free |
Tool Details
- Company
- Cheetah AI
- Pricing
- Free
- Category
- Ai Code Assistants
- Added
- Jun 2026
- Last Updated
- Jul 2026
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