mcp-grep

mcp-grep

A grep server implementation that exposes grep functionality through the Model Context Protocol (MCP), supporting natural language prompts and common grep options such as case-insensitive matching, context lines, and recursive searching.

Category
Visit Server

README

Add to Cursor Add to VS Code Add to Claude Add to ChatGPT Add to Codex Add to Gemini

MCP-Grep

smithery badge

A grep server implementation that exposes grep functionality through the Model Context Protocol (MCP).

Installation

Installing via Smithery

To install Grep Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @erniebrodeur/mcp-grep --client claude

Manual Installation

pip install mcp-grep

Usage

MCP-Grep runs as a server that can be used by MCP-compatible clients:

# Start the MCP-Grep server
mcp-grep-server

# Or use the MCP Inspector for interactive debugging and testing
mcp-grep-inspector

The server exposes the following MCP functionality:

  • Resource: grep://info - Returns information about the system grep binary
  • Tool: grep - Searches for patterns in files using the system grep binary

Features

  • Information about the system grep binary (path, version, supported features)
  • Search for patterns in files using regular expressions
  • Support for common grep options:
    • Case-insensitive matching
    • Context lines (before and after matches)
    • Maximum match count
    • Fixed string matching (non-regex)
    • Recursive directory searching
  • Natural language prompt understanding for easier use with LLMs
  • Interactive debugging and testing through MCP Inspector

Example API Usage

Using the MCP Python client:

from mcp.client import MCPClient

# Connect to the MCP-Grep server
client = MCPClient()

# Get information about the grep binary
grep_info = client.get_resource("grep://info")
print(grep_info)

# Search for a pattern in files
result = client.use_tool("grep", {
    "pattern": "search_pattern",
    "paths": ["file.txt", "directory/"],
    "ignore_case": True,
    "recursive": True
})
print(result)

Natural Language Prompts

MCP-Grep understands natural language prompts, making it easier to use with LLMs. Examples:

# Basic search
Search for 'error' in log.txt

# Case-insensitive search
Find all instances of 'WARNING' regardless of case in system.log

# With context lines
Search for 'exception' in error.log and show 3 lines before and after each match

# Recursive search
Find all occurrences of 'deprecated' in the src directory and its subdirectories

# Fixed string search (non-regex)
Search for the exact string '.*' in config.js

# Limited results
Show me just the first 5 occurrences of 'TODO' in the project files

# Multiple options
Find 'password' case-insensitively in all .php files, show 2 lines of context, and limit to 10 results

MCP Inspector Integration

MCP-Grep includes an MCP Inspector integration for interactive debugging and testing:

# Start the MCP Inspector with MCP-Grep
mcp-grep-inspector

This opens a web-based UI where you can:

  • Explore available resources and tools
  • Test grep operations with different parameters
  • View formatted results
  • Debug issues with your grep queries

Development

# Clone the repository
git clone https://github.com/erniebrodeur/mcp-grep.git
cd mcp-grep

# Install in development mode
pip install -e ".[dev]"

# Run tests
pytest

License

MIT

Recommended Servers

playwright-mcp

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.

Official
Featured
TypeScript
Magic Component Platform (MCP)

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.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

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.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

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.

Official
Featured
TypeScript
Kagi MCP Server

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.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured
Exa Search

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.

Official
Featured