Insight Digger MCP

# Changelog All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). ## [1.0.0] - 2024-01-XX ### Added - Complete project reorganization with clear separation of concerns - Modern Python packaging with pyproject.toml - Comprehensive configuration system with YAML files - Professional directory structure following best practices - Automated installation and setup scripts - Systemd service files for production deployment - Comprehensive test suite structure - Development and production environment configurations - CLI entry points for all components ### Changed - **BREAKING**: Reorganized entire project structure - **BREAKING**: Updated all import paths and module references - **BREAKING**: Renamed package from `data-narrator-mcp` to `insight-digger-mcp` - **BREAKING**: Moved Flask API from `mcp_client/server.py` to `src/python/insight_digger_mcp/flask_api/app.py` - **BREAKING**: Moved MCP Server from `mcp_server.py` to `src/python/insight_digger_mcp/mcp_server/server.py` - **BREAKING**: Moved Node.js bridge from `src/index.js` to `src/nodejs/src/index.js` - Updated configuration management to use centralized YAML files - Improved documentation with new project structure ### Fixed - Resolved naming confusion between different server components - Fixed import paths throughout the codebase - Standardized configuration access patterns ### Removed - Old scattered configuration files - Duplicate and confusing file locations ## [0.9.0] - Previous Version ### Added - Initial MCP bridge implementation - Flask API for MCP client functionality - Redis-based session management - JWT authentication system - Multi-step workflow optimization - Claude Desktop integration ### Features - Enterprise-grade 3-layer MCP architecture - Dynamic JWT authentication with 14-day tokens - Intelligent parameter caching and auto-injection - Workflow guidance for LLM optimization - Multi-user support with session isolation - Enterprise security and compliance features