Saga

Name: Saga
Author: spranab

@spranab

Saga について

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.

基本情報

カテゴリ

その他

トランスポート

stdio

公開者

spranab

投稿者

Pranab Sarkar

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "saga": {
      "command": "npx",
      "args": [
        "-y",
        "saga-mcp"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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?

—

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.

「その他」の他のコンテンツ

Activepieces

activepieces

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

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