log-inspector-mcp

# Log MCP Server A Model Context Protocol (MCP) server that enables AI assistants to intelligently inspect and analyze runtime log files for debugging and troubleshooting. ## What is this? This MCP server bridges the gap between your application logs and AI assistants like Claude. When you encounter errors or unexpected behavior in your code, the AI can automatically inspect your runtime logs to diagnose the problem - no more copying and pasting log files back and forth! **The workflow:** 1. Your applications write logs to a configured directory (e.g., `$XDG_RUNTIME_DIR/log` or custom paths) 2. This MCP server gives your AI assistant read access to those logs 3. When you report a problem, the AI proactively checks the logs to find the root cause 4. Get faster, more accurate debugging assistance based on actual runtime data ## Use Cases - **Development debugging**: AI analyzes application logs when tests fail or errors occur - **Service monitoring**: Quickly diagnose issues with background services and daemons - **Multi-project debugging**: Monitor logs from multiple applications simultaneously - **Learning & training**: Understand what your code is doing at runtime by having AI explain the logs ## Features - **Multiple Directory Support**: Monitor logs from multiple directories simultaneously - **Automatic AI Guidance**: When activated, the AI is informed about log inspection capabilities and will proactively check logs when users report errors - **list_log_files**: Lists all log files across all configured directories - **get_log_content**: Reads and returns the content of a specific log file - **read_log_paginated**: Read large files in chunks with line numbers - **search_log_file**: Regex search with context lines and pagination - **runtime-logs prompt**: Provides context to the AI about when and how to use log inspection ## Installation ### From source (development) ```bash git clone <repository-url> cd log-mcp pip install -e . ``` ### From PyPI (wh…