bmorphism_krep-mcp-server
The Krep MCP Server is a high-performance string search utility integrated via the Model Context Protocol for efficient pattern searching. It aims to optimize search performance using advanced algorithms and multi-threading but suffers from excessive complexity in its codebase and documentation.
Overview
Krep MCP Server provides a unified interface to the krep binary, a high-performance string search utility similar to grep but with optimized algorithms and multi-threading capabilities. It exposes krep's functionality through the Model Context Protocol, allowing AI assistants to perform efficient pattern searching in files and strings.
Features
- High-Performance Search: Uses optimized algorithms selected based on pattern length
- Hardware Acceleration: Leverages SIMD instructions for enhanced performance
- Optimized Multi-Threading: Utilizes all CPU cores for parallel search
- Unified Interface: Single function with multiple modes
- MCP Integration: Seamless AI assistant interaction through the Model Context Protocol
Why This Codebase Is Tragic
- Unnecessary complexity and over-engineering
- Documentation overload
- Multiple redundant integration systems
- Excessive installation scripts
- Fragmented testing and configuration redundancy
Project Structure
Includes multiple documentation files, installation scripts, integration modules, and support for various environments.
Installation
- Ensure krep binary installation. 2. Configure the MCP server settings.
Usage
The krep MCP server offers a unified function for pattern searching with various modes and parameters.
Performance
Includes algorithm selection, hardware acceleration, and dynamic multi-threading.
Cline VSCode Extension Integration
The krep-mcp-server can be integrated with the Cline VSCode extension.
Integration with Infinity Topos
Designed to work with components like Babashka and Say within the infinity-topos environment.
Development
Include environment variables and HTTP Server Mode with specific endpoints.