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Add priority-based task ordering and auto time tracking (v1.4.1)
- task_list now sorts by priority (critical first) by default, with
sort_by parameter for created, due_date, and status ordering
- Auto-compute actual_hours when tasks move to done, based on time
since last in_progress status change in activity log
- Works in both task_update and task_batch_update
Closes#7, closes#10
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"manifest_version": "0.3",
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"name": "saga-mcp",
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"display_name": "Saga — Project Tracker for AI Agents",
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"version": "1.4.0",
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"version": "1.4.1",
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"description": "A Jira-like project tracker MCP server for AI agents. SQLite-backed, per-project scoped, with full hierarchy and activity logging — so LLMs never lose track.",
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"long_description": "Saga gives your AI assistant a structured SQLite database to track projects, epics, tasks, subtasks, notes, and decisions across sessions. No more scattered markdown files — one `tracker_dashboard` call gives full project context to resume work.\n\n**Key features:**\n- Full hierarchy: Projects > Epics > Tasks > Subtasks\n- SQLite: Self-contained `.tracker.db` file per project — zero setup\n- Activity log: Every mutation is automatically tracked\n- Dashboard: One tool call gives full project overview\n- Notes system: Decisions, context, meeting notes, blockers\n- Batch operations: Create multiple subtasks or update multiple tasks in one call\n- 25 focused tools with safety annotations\n- Import/export: Full project backup and migration as JSON",
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{
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"name": "saga-mcp",
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"version": "1.4.0",
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"version": "1.4.1",
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"description": "A Jira-like project tracker MCP server for AI agents. SQLite-backed, per-project scoped, with full hierarchy (Projects > Epics > Tasks > Subtasks), activity logging, and a dashboard — so LLMs never lose track.",
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