SRT Translation MCP Server

## Why The need for efficient SRT subtitle translation and editing capabilities is growing, especially for content creators and localization teams. Current tools lack the ability to handle large SRT files efficiently, maintain timing synchronization, and provide intelligent conversation detection for better translation context. An MCP (Model Context Protocol) server would provide a standardized interface for AI assistants to interact with SRT files, enabling automated translation workflows while preserving subtitle formatting and timing. ## What Changes - **ADDED**: MCP-Server implementation using Node.js and npx for SRT file processing - **ADDED**: Large SRT file chunking and partial editing capabilities - **ADDED**: Conversation detection based on timing and context analysis - **ADDED**: Timing synchronization with original SRT files - **ADDED**: SRT time format parsing and manipulation - **ADDED**: Style tag preservation and understanding - **ADDED**: Translation workflow with context-aware processing ## Impact - Affected specs: New `srt-processing` capability - Affected code: New MCP server implementation, SRT parsing utilities, translation workflow - New dependencies: Node.js MCP server framework, SRT parsing libraries - Breaking changes: None (new capability)