Saga
@spranab
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.
Overview
What is Saga?
Saga is a Jira-like project tracker MCP server designed for AI agents. It is backed by SQLite, scoped per project, and provides full hierarchy and activity logging so large language models never lose track.
How to use Saga?
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Key features of Saga
- SQLite-backed structured database for project tracking
- Per-project scope with full hierarchy (epics, tasks, subtasks)
- Activity logging to maintain LLM context across sessions
- Supports notes and decisions alongside tasks
- Replaces scattered markdown files with a unified system
Use cases of Saga
- Giving your AI assistant a persistent database to track projects and tasks
- Managing epics, tasks, subtasks, notes, and decisions across multiple sessions
- Eliminating the need for scattered markdown files for project organization
FAQ from Saga
What types of items can Saga track?
Saga tracks projects, epics, tasks, subtasks, notes, and decisions.
How is data stored in Saga?
Data is stored in a local SQLite database, scoped per project.
Who is Saga designed for?
Saga is designed for AI agents to use as a structured project tracker.
What problem does Saga solve?
It prevents LLMs from losing track of project context by maintaining a structured database instead of scattered markdown files.
Does Saga include activity logging?
Yes, Saga includes full activity logging to preserve history across sessions.
