
Grep MCP Server
Provides powerful text search capabilities using the grep command-line utility, allowing users to search files and directories using both natural language descriptions and regex patterns.
Tools
grep_search_intent
Search for patterns using plain English descriptions (e.g., 'email addresses', 'phone numbers', 'TODO comments')
grep_regex
Search using a direct regex pattern
grep_count
Count the number of matches for a pattern
grep_files_with_matches
List only the names of files that contain the pattern
grep_advanced
Execute grep with custom arguments (advanced usage)
README
MCP Server for Grep
A Model Context Protocol (MCP) server that provides powerful text search capabilities using the grep
command-line utility. This server allows you to search for patterns in files and directories using both natural language descriptions and direct regex patterns.
Features
🧠 Natural Language Search
- Describe what you're looking for in plain English
- Automatic conversion to appropriate regex patterns
- Built-in patterns for common searches (emails, URLs, phone numbers, etc.)
🔍 Advanced Search Capabilities
- Direct regex pattern matching
- Recursive directory searching
- File extension filtering
- Case-sensitive/insensitive search
- Whole word matching
- Context line display
- Match counting
- File listing with matches
🛡️ Security First
- Safe command execution using
child_process.spawn
- Input validation with Zod schemas
- No shell injection vulnerabilities
- Path validation and sanitization
Installation
Method 1: NPM Installation (Recommended)
# Install globally
npm install -g @247arjun/mcp-grep
# Or install locally in your project
npm install @247arjun/mcp-grep
Method 2: From Source
# Clone the repository
git clone https://github.com/247arjun/mcp-grep.git
cd mcp-grep
# Install dependencies
npm install
# Build the project
npm run build
# Optional: Link globally
npm link
Method 3: Direct from GitHub
# Install directly from GitHub
npm install -g git+https://github.com/247arjun/mcp-grep.git
Configuration
Claude Desktop Setup
Add to your Claude Desktop configuration file:
Location:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json
- Windows:
%APPDATA%/Claude/claude_desktop_config.json
Configuration:
{
"mcpServers": {
"mcp-grep": {
"command": "mcp-grep",
"args": []
}
}
}
Alternative: Using npx (no global install needed)
{
"mcpServers": {
"mcp-grep": {
"command": "npx",
"args": ["@247arjun/mcp-grep"]
}
}
}
Local Development Setup
{
"mcpServers": {
"mcp-grep": {
"command": "node",
"args": ["/absolute/path/to/mcp-grep/build/index.js"]
}
}
}
After adding the configuration, restart Claude Desktop to load the MCP server.
Verification
Test that the server is working:
# Test the built server
node build/index.js
# Should show: "Grep MCP Server running on stdio"
# Press Ctrl+C to exit
Available Tools
1. grep_search_intent
Search using natural language descriptions.
Parameters:
intent
(string): Plain English description (e.g., "email addresses", "TODO comments")target
(string): File or directory path to searchcase_sensitive
(boolean, optional): Case-sensitive search (default: false)max_results
(number, optional): Limit number of resultsshow_context
(boolean, optional): Show surrounding lines (default: false)context_lines
(number, optional): Number of context lines (default: 2)
Example:
{
"intent": "email addresses",
"target": "./src",
"show_context": true,
"context_lines": 1
}
2. grep_regex
Search using direct regex patterns.
Parameters:
pattern
(string): Regular expression patterntarget
(string): File or directory path to searchcase_sensitive
(boolean, optional): Case-sensitive searchwhole_words
(boolean, optional): Match whole words onlyinvert_match
(boolean, optional): Show non-matching linesmax_results
(number, optional): Limit resultsshow_context
(boolean, optional): Show context linescontext_lines
(number, optional): Context line countfile_extensions
(array, optional): Filter by file extensions
Example:
{
"pattern": "function\\s+\\w+\\s*\\(",
"target": "./src",
"file_extensions": ["js", "ts"],
"show_context": true
}
3. grep_count
Count matches for a pattern.
Parameters:
pattern
(string): Pattern to counttarget
(string): Search targetcase_sensitive
(boolean, optional): Case sensitivitywhole_words
(boolean, optional): Whole word matchingby_file
(boolean, optional): Show count per filefile_extensions
(array, optional): File extension filter
4. grep_files_with_matches
List files containing the pattern.
Parameters:
pattern
(string): Search patterntarget
(string): Directory to searchcase_sensitive
(boolean, optional): Case sensitivitywhole_words
(boolean, optional): Whole word matchingfile_extensions
(array, optional): File extensions to includeexclude_patterns
(array, optional): File patterns to exclude
5. grep_advanced
Execute grep with custom arguments (advanced users).
Parameters:
args
(array): Array of grep arguments (excluding 'grep' itself)
Built-in Natural Language Patterns
The server recognizes these natural language intents:
Communication
- "email", "email address", "emails" → Email address pattern
- "url", "urls", "website", "link", "links" → URL pattern
- "phone", "phone number", "phone numbers" → Phone number pattern
Network
- "ip", "ip address", "ip addresses" → IPv4 address pattern
Data Types
- "number", "numbers", "integer", "integers" → Numeric patterns
- "date", "dates" → Date patterns
Code Patterns
- "function", "functions" → Function declarations
- "class", "classes" → Class definitions
- "import", "imports" → Import statements
- "export", "exports" → Export statements
- "comment", "comments" → Comment lines
- "todo", "todos" → TODO/FIXME/HACK comments
Error Patterns
- "error", "errors" → Error messages
- "warning", "warnings" → Warning messages
Usage Examples
Search for email addresses in a project
{
"tool": "grep_search_intent",
"intent": "email addresses",
"target": "./src",
"show_context": true
}
Find all TODO comments
{
"tool": "grep_search_intent",
"intent": "todo comments",
"target": "./",
"file_extensions": ["js", "ts", "py"]
}
Search for function definitions with regex
{
"tool": "grep_regex",
"pattern": "^\\s*function\\s+\\w+",
"target": "./src",
"file_extensions": ["js"]
}
Count occurrences of a word
{
"tool": "grep_count",
"pattern": "async",
"target": "./src",
"by_file": true
}
List files containing import statements
{
"tool": "grep_files_with_matches",
"pattern": "^import",
"target": "./src",
"file_extensions": ["js", "ts"]
}
Development
Build and Run
# Development with auto-rebuild
npm run dev
# Production build
npm run build
# Start the server
npm start
Project Structure
mcp-grep/
├── src/
│ └── index.ts # Main server implementation
├── build/ # Compiled JavaScript output
├── package.json # Project configuration
├── tsconfig.json # TypeScript configuration
└── README.md # This file
Troubleshooting
Common Issues
-
"Command not found" error
- Ensure mcp-grep is installed globally:
npm install -g @247arjun/mcp-grep
- Or use npx:
"command": "npx", "args": ["@247arjun/mcp-grep"]
- Ensure mcp-grep is installed globally:
-
"Permission denied" error
- Check file permissions:
chmod +x build/index.js
- Rebuild the project:
npm run build
- Check file permissions:
-
MCP server not appearing in Claude
- Verify JSON syntax in configuration file
- Restart Claude Desktop completely
- Check that the command path is correct
-
"grep command not found"
- Install grep on your system (usually pre-installed on macOS/Linux)
- Windows users: Install via WSL or use Git Bash
Debugging
Enable verbose logging by setting environment variable:
# For development
DEBUG=1 node build/index.js
# Test with sample input
echo '{"jsonrpc": "2.0", "method": "initialize", "params": {}}' | node build/index.js
Security Notes
- Uses
spawn
withshell: false
to prevent command injection - Validates all file paths before execution
- Blocks potentially dangerous grep flags in advanced mode
- Input validation with Zod schemas
- No access to system files outside specified targets
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.