GREB-MCP
A hybrid search MCP that enables users to find coding chunks like RAG without indexing their codebase, without any vector database. World's first context attention MCP. It gives results in below 5 seconds in a repository as big as VS Code.
README
GREB MCP Server
Semantic code search for AI agents. Search your codebase using natural language queries.
Features
- Natural Language Search - Describe what you're looking for in plain English
- High-Precision Results - Smart ranking returns the most relevant code first
- Works with Any MCP Client - Claude Desktop, Cursor, Windsurf, Cline, Kiro, and more
- No Indexing Required - Search any codebase instantly without setup
- Fast - Results in under 5 seconds even for large repositories
Installation
Install Greb globally using pip or npm:
Python:
pip install cheetah-greb
Node.js:
npm install -g cheetah-greb
Get Your API Key
- Go to Dashboard → API Keys
- Click Create API Key
- Copy the key (starts with
grb_)
Configuration
Add to your MCP client config (Cursor, Windsurf, Claude Desktop, Kiro, etc.):
Python installation:
{
"mcpServers": {
"greb-mcp": {
"command": "greb-mcp",
"env": {
"GREB_API_KEY": "grb_your_api_key_here"
}
}
}
}
Node.js installation:
{
"mcpServers": {
"greb-mcp": {
"command": "greb-mcp-js",
"env": {
"GREB_API_KEY": "grb_your_api_key_here"
}
}
}
}
Claude Code Setup
Mac/Linux (Python):
claude mcp add --transport stdio greb-mcp --env GREB_API_KEY=grb_your_api_key_here -- greb-mcp
Windows PowerShell (Python):
claude mcp add greb-mcp greb-mcp --transport stdio --env "GREB_API_KEY=grb_your_api_key_here"
Mac/Linux (Node.js):
claude mcp add --transport stdio greb-mcp --env GREB_API_KEY=grb_your_api_key_here -- greb-mcp-js
Windows PowerShell (Node.js):
claude mcp add greb-mcp greb-mcp-js --transport stdio --env "GREB_API_KEY=grb_your_api_key_here"
Tool: code_search
Search code using natural language queries powered by AI.
Parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
query |
string | Yes | Natural language search query |
keywords |
object | Yes | Search configuration |
keywords.primary_terms |
string[] | Yes | High-level semantic terms (e.g., "authentication", "database") |
keywords.code_patterns |
string[] | No | Literal code patterns to grep for |
keywords.file_patterns |
string[] | Yes | File extensions to search (e.g., ["*.ts", "*.js"]) |
keywords.intent |
string | Yes | Brief description of what you're looking for |
directory |
string | Yes | Full absolute path to directory to search |
Example
{
"query": "find authentication middleware",
"keywords": {
"primary_terms": ["authentication", "middleware", "jwt"],
"code_patterns": ["authenticate(", "isAuthenticated"],
"file_patterns": ["*.js", "*.ts"],
"intent": "find auth middleware implementation"
},
"directory": "/Users/dev/my-project"
}
Response
Returns ranked code snippets with:
- File paths
- Line numbers
- Relevance scores
- Code content
- Reasoning for each match
Usage Examples
Ask your AI assistant to search code naturally:
"Use greb mcp to find authentication middleware"
"Use greb mcp to find all API endpoints"
"Use greb mcp to look for database connection setup"
"Use greb mcp to find where user validation happens"
"Use greb mcp to search for error handling patterns"
Links
License
This project is licensed under the MIT License — see the LICENSE file for details.
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