Parallel-Sort MCP
Parallel-Sort
Parallel Sort MCP is a comprehensive Model Context Protocol (MCP) server that enables Language Learning Models (LLMs) to perform high-performance log file processing and analysis operations. This server provides advanced log sorting, filtering, analysis tools, and scalable data processing capabilities with seamless integration with AI coding assistants. Key Features: - Log File Sorting: Timestamp-based sorting with parallel processing for large log files - Advanced Filtering: Multi-condition filtering by time range, log level, keywords, and custom patterns - Pattern Detection: Anomaly detection, error clustering, and trend analysis - Statistical Analysis: Comprehensive log statistics, temporal patterns, and quality metrics - Multiple Export Formats: Support for JSON, CSV, and text output with metadata - Scalable Processing: Handle large log files with memory-efficient chunked processing - MCP Integration: Full Model Context Protocol compliance for seamless LLM integration
Installation
{
"mcpServers": {
"parallel-sort-mcp": {
"command": "uvx",
"args": ["iowarp-mcps", "parallel-sort"]
}
}
}