SRT Translation MCP Server

# AI Workflow Example for SRT Translation ## Complete Workflow for AI Agents This MCP server provides a complete workflow for AI agents to analyze, chunk, and translate SRT files while tracking progress with the TODO tool. ## Step-by-Step Workflow ### 1. ANALYZE SRT File (with Memory Storage) ```json { "tool": "detect_conversations", "parameters": { "content": "1\n00:00:02,000 --> 00:00:07,000\nHello world", "storeInMemory": true, "createTodos": true } } ``` **What it returns:** File structure, language detection, speaker info, chunk metadata, sessionId, todos ### 2. OPTIMIZE CHUNKS ```json { "tool": "context_optimization", "parameters": { "content": "1\n00:00:02,000 --> 00:00:07,000\nHello world", "optimizationType": "optimize", "maxContextSize": 50000, "maxChunkSize": 8 } } ``` **What it does:** Splits large chunks, merges small ones, optimizes for AI processing ### 3. CREATE TODO TASKS ```json { "tool": "todo_management", "parameters": { "action": "create", "taskType": "translate", "title": "Translate SRT to Spanish", "priority": "high" } } ``` **What it does:** Creates task to track translation progress ### 4. PROCESS CHUNKS ONE BY ONE ```json { "tool": "get_next_chunk", "parameters": { "sessionId": "srt-session-123" } } ``` **What it returns:** Next chunk data, chunk index, total chunks, hasMore flag ### 5. TRANSLATE EACH CHUNK ```json { "tool": "translate_srt", "parameters": { "content": "1\n00:00:02,000 --> 00:00:07,000\nHello world", "targetLanguage": "es" } } ``` **What it does:** Translates individual chunk content to target language ### 6. UPDATE TODO STATUS ```json { "tool": "todo_management", "parameters": { "action": "complete", "taskId": "task-123" } } ``` **What it does:** Marks task as completed ## Alternative: Use Unified AI Processing For a single-step approach with any AI model: ```json { "tool": "unified_ai_process", "parameters": { "content": "1\n00:00:02,000 --> 00:00:07,000\nHello world", "model": "claude", "targetLanguage": "es", "enableTodoTracking": true } } ``` ## Key Benefits - **Automatic Chunking:** Prevents AI context limit issues - **Progress Tracking:** TODO tool manages workflow - **Multi-Model Support:** Works with Claude, GPT, Gemini - **Error Handling:** Robust error messages and recovery - **Context Optimization:** Intelligent chunk management ## Complete Workflow Example Here's a complete example of how an AI agent should process a large SRT file: ```json // Step 1: Analyze and store chunks in memory { "tool": "detect_conversations", "parameters": { "content": "large_srt_file_content", "storeInMemory": true, "createTodos": true } } // Step 2: Process chunks one by one (repeat until hasMore: false) { "tool": "get_next_chunk", "parameters": { "sessionId": "srt-session-123" } } // Step 3: Translate each chunk { "tool": "translate_srt", "parameters": { "content": "chunk_content_from_get_next_chunk", "targetLanguage": "es" } } // Step 4: Update TODO status { "tool": "todo_management", "parameters": { "action": "complete", "taskId": "chunk_task_id" } } ``` ## Quick Start 1. Start with `detect_conversations(storeInMemory=true, createTodos=true)` to analyze and store chunks 2. Use `get_next_chunk()` to retrieve chunks one by one 3. Translate each chunk with `translate_srt()` 4. Update TODO status as you progress 5. Repeat until `hasMore: false` This workflow ensures efficient, trackable SRT translation with proper context management and no context limit issues!