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