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PopNx MCPAI를 쓰는 사람을 위한 MCP 서버 · 쉬운 말로 설명해요

Saga MCP

제작자: spranab버전 1.19.0i★ –i내 컴퓨터에서 실행
레지스트리 이름io.github.spranab/saga-mcp

설치

개요

제작자가 쓴 설명(영어 원문)

Jira-like project tracker for AI agents with SQLite, full task hierarchy, and dashboard

PopNx MCP의 세 기둥

이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.

할 수 있는 일

이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.

  • 연결 방식: 내 컴퓨터에서 실행
  • 전송 방식: stdio
  • 카테고리: 문서, 시트 및 사무 업무

설치

쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.

설치하기 전에

  • 기본 점검: 1개 중 1개 통과
  • 내 컴퓨터에서 내 사용자 계정의 권한(파일, 네트워크, 앱)으로 실행돼요.
  • 레지스트리에 입력해야 할 키가 나와 있지 않아요.

필요한 것

  • npmNode.js 설치(npx 명령어용)

어떤 앱을 쓰세요?

위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.

Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요

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

터미널에서 이 명령어를 실행하세요

claude mcp add saga -- npx -y saga-mcp

Cursor에서 열기

또는 설정을 직접 복사하기

프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요

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

브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.

VS Code에서 열기

또는 설정을 직접 복사하기

프로젝트의 .vscode/mcp.json에 붙여 넣으세요

{
  "servers": {
    "saga": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "saga-mcp"
      ]
    }
  }
}

브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.

이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.

선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.

이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.

할 수 있는 일

내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.

기본 점검i

누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검

  • ✓ 통과

    제작자와 저장소 일치

    레지스트리 이름이 GitHub 계정 spranab 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요

  • … 아직 점검 안 함

    계속 관리되고 있음

    아직 GitHub에서 이 저장소를 읽어 오지 않았어요

  • … 아직 점검 안 함

    라이선스 있음

    아직 GitHub에서 이 저장소를 읽어 오지 않았어요

  • – 해당 없음

    엔드포인트 응답

    내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요

  • – 해당 없음

    OAuth로 로그인

    내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요

  • … 아직 점검 안 함

    도구 설명에 숨겨진 지시 없음

    내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요

문서, 시트 및 사무 업무 카테고리의 다른 서버와 비교i

  • 이 카테고리의 다른 서버 2198개 중 0%보다 스타가 많아요
  • 이 카테고리의 다른 서버 2198개 중 45%보다 최근에 레지스트리에 공개됐어요
  • 기본 점검 결과가 이 카테고리의 다른 서버 2198개 중 100%와 같거나 더 좋아요

레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.

자주 묻는 질문

Saga MCP, 안전한가요?

해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.

어떤 키나 코드가 필요한가요?

레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.

내 컴퓨터에서 실행되나요, 클라우드에서 실행되나요?

내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).

아직 관리되고 있나요?

GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(1.19.0)은 39일 전 레지스트리에 올라왔어요.

어떤 앱에서 쓸 수 있나요?

Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.

대신 쓸 수 있는 건 뭐가 있나요?

같은 카테고리에는: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel

대안

같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.

카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i

Agent-Native Calendar

제작자: BuilderIO

Agent-Native Google Calendar - manage events, sync, and public booking

클라우드에서 실행★ 7,620MIT2개월 전 업데이트
설치

Excel MCP Server

제작자: haris-musa

Create and edit Excel files with AI: charts, PivotTables, formulas. No Excel needed.

내 컴퓨터에서 실행★ 4,276MIT6일 전 업데이트
설치

MCP Server for Excel

제작자: sbroenne

Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.

내 컴퓨터에서 실행★ 847MIT4일 전 업데이트
설치

제작자의 README

README 열기

제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.

saga-mcp

Your coding agent loses the plan between sessions. You come back tomorrow and it has no idea which of the five things you agreed on are done, which one is blocked on which, or why you rejected the second approach — because the plan lived in the context window, or in a TODO.md nobody updates.

saga-mcp gives the agent a real tracker instead: a SQLite file in your project holding projects, epics, tasks, subtasks, dependencies, comments, notes and decisions, exposed as 41 MCP tools. The agent writes to it as it works and reads it back when it returns. No accounts, no external service, no network calls — the database is a file you own.


Install

Add saga-mcp to your MCP client. The same block works for Claude Code (.mcp.json in your project), Claude Desktop (claude_desktop_config.json), and any other MCP client:

{

"mcpServers": { "saga": { "command": "npx", "args": ["-y", "saga-mcp"], "env": { "DB_PATH": "/absolute/path/to/your/project/.tracker.db" } } } }

Restart the client. DB_PATH is the only required setting; the file and its schema are created on first use. Prefer a global install? npm install -g saga-mcp, then use saga-mcp as the command instead of npx.

Tested on Node 20, 22 and 24, on Linux, macOS and Windows.

Settings
VariableRequiredDescription
DB_PATHYesPath to the .tracker.db SQLite file. Created on first use.
SAGA_PROJECTNoScope every tool to one project, by id or name. Set this per repo when several repos share one database.
SAGA_DESCRIPTION_LOCKNoon_progress locks a task's description the moment work starts on it. Off by default. See keeping agents on the rails.
SAGA_TOOLSNofull (default) lists all 41 tools. core lists only the 13 an ordinary tracking session needs, saving ~4,300 tokens per session. See token cost.

No API keys, no accounts, no external services.


Your first session

You: "Set up tracking for the e-commerce API and plan out auth."

tracker_init({ project_name: "E-Commerce API" })

epic_create({ project_id: 1, name: "Authentication", priority: "high" }) task_create({ epic_id: 1, title: "Design auth schema", priority: "critical" }) task_create({ epic_id: 1, title: "Implement JWT auth", depends_on: [1] }) task_create({ epic_id: 1, title: "Add OAuth2 Google login", depends_on: [2] })

Tasks 2 and 3 come back blocked — their dependencies aren't done. Finish task 1 and task 2 unblocks itself. That whole exchange, actually run against saga-mcp:

Next session, you: "Where were we?"

tracker_next({})

-> Work on #1 'Design auth schema' — critical priority, in the active epic 'Authentication'. 2 other task(s) are blocked.

One recommendation with the reason. For the whole picture instead, tracker_dashboard({}) returns stats, epics, blocked and overdue tasks, recent activity and notes, with a summary on top.

And when you would rather look than ask, saga-web puts the same database in a browser:


What you get

  • [The next thing to do](#asking-what-to-do-next) — one recommendation with its reason, at a third the cost of the dashboard
  • [Real sequencing](#ordering-and-dependencies) — dependencies that auto-block and auto-unblock, a manual order the tools respect, and cycles refused rather than deadlocked
  • [Guards against agent drift](#keeping-agents-on-the-rails) — a lockable description, and prerequisites enforced on write rather than merely reported
  • [A web UI](#web-ui) — saga-web serves the same database in a browser, read *and* write
  • [Templates](#templates) — reusable task sets with {variable} substitution, editable in place
  • [Archiving and soft delete](#getting-old-work-out-of-the-way) — get finished work out of the context you pay for, reversibly
  • [Forgiving input](#forgiving-input) — a smaller model sending an array as a JSON string doesn't silently collapse your batch into one record
  • [One file, many projects](#one-database-many-projects) — per-repo databases or one shared file
  • A full audit trail — every mutation logged with old and new values, and nothing an agent removes is unrecoverable
  • 41 tools with MCP safety annotations on every one, and a tiered surface when you want a smaller context bill

Asking what to do next

tracker_dashboard hands an agent everything and leaves it to reason. tracker_next answers the question:

tracker_next()

-> Work on #12 'Write the adapter' — already in progress, high priority, in the active epic 'Provider swap'. Next step: implement. Also overdue: #18 'Renew cert'. 3 other task(s) are blocked.

One recommendation with the reason, the next unfinished subtask inside it, a couple of alternatives, and anything overdue or blocked. About a third the size of the dashboard.

The ordering rule worth knowing: continuing beats starting. A task already in progress outranks an untouched one that is overdue or higher priority, because abandoning work in flight just leaves two things unfinished — the overdue work is named in the summary instead. Blocked tasks are never recommended, archived epics and removed tasks are skipped, and subtask dependencies decide which step comes next inside the chosen task.

When nothing is actionable it says what to unblock rather than returning an empty answer:

Nothing is actionable: all 4 remaining task(s) are blocked.

Unblocking #7 'the keystone' would release 3 of them.


Ordering and dependencies

A deliberate order wins over a guess. task_list sorts by priority until someone arranges an epic, and from then on it follows the arrangement:

task_reorder({ epic_id: 2, ordered_ids: [8, 5, 6] })

task_list({ epic_id: 2 }) // 8, 5, 6 — the plan, in order task_list({ epic_id: 2, sort_by: "priority" }) // priority, if that is what you want

Priority is a reasonable guess about what matters; a sequence someone wrote down is not a guess. An agent handed a plan should start at the beginning of it, not at whichever step happens to be marked critical.

Nothing changes for epics nobody has arranged — those sort by priority exactly as before, and an explicit sort_by is always obeyed literally.

Anything omitted from ordered_ids keeps its relative position at the end. sort_order runs ascending — lower sorts first — and a task created *after* an arrangement has no place in it, so it lands at the end rather than the front. In the web UI you can drag tasks into place inside an epic.

Task dependencies auto-block and auto-unblock:

task_update({ id: 9, depends_on: [8] })   // 9 becomes blocked while 8 is open

Re-evaluation runs whenever a blocker's *doneness* changes in either direction, so reopening a finished blocker blocks its dependents again, and clearing the last dependency releases them. Circular dependencies are refused with the loop named, for tasks and subtasks alike — anything in a cycle would be blocked forever. The web UI shows a banner at the top of a blocked task naming what it waits on, with a picker to add or remove dependencies.


Keeping agents on the rails

Two guards for the ways an agent goes wrong on a long task.

A locked description. Agents sometimes rewrite a task's description to record progress, when they meant to add a comment — and the spec you agreed on is gone. Lock it and task_update refuses:

task_lock_description({ id: 12 })

task_update({ id: 12, description: "..." }) -> Task 12's description is locked and was not changed. Record progress with comment_add instead, or unlock it in the web UI if the description is genuinely wrong.

Everything else about the task stays editable — the point is to protect the spec, not freeze the task. The lock cannot be cleared as a side effect of an ordinary task_update; it takes a deliberate task_lock_description call or the lock toggle in the web UI, and both are logged.

This is a guard against confusion, not an adversarial control: an agent that is told to unlock still can. It turns a silent overwrite into a visible, reversible decision.

Locking each task by hand does not scale across a plan, so SAGA_DESCRIPTION_LOCK=on_progress does it for you: a task locks as work starts on it — when it moves to in_progress, review or done, or is created there. It is off unless you set it, since it changes what an agent is allowed to do.

"env": { "DB_PATH": "…", "SAGA_DESCRIPTION_LOCK": "on_progress" }

It sets the same flag task_lock_description sets, rather than second-guessing every write. So one mechanism governs the field: unlock a task and it stays unlocked, whatever its status does next. blocked is not "started" — a task waiting on a dependency has not been worked on, and dependencies move tasks in and out of that status on their own.

Subtask order and dependencies. New subtasks are appended in order rather than all landing at position 0, subtask_reorder sets the order in one call (or drag them in the UI), and a subtask can wait on its siblings:

subtask_update({ id: 8, depends_on: [5, 6] })    // 8 waits for 5 and 6

subtask_update({ id: 4, blocks: [5, 6, 7, 8] }) // a bug that holds up the rest

Reads carry depends_on and blocked, and the block is enforced on write: starting or finishing a subtask whose prerequisites are unmet is refused, and so is completing a task whose checklist is still open.

subtask_update({ id: 8, status: "in_progress" })

-> Subtask 8 cannot be started — it waits on #5 'write the parser' (todo). Finish those first, or pass force: true to override deliberately (the override is logged).

force: true is the way past, for when a person has decided the blocker no longer applies. It works on subtask_update, task_update and task_batch_update, and every override is written to the activity log naming what was skipped. The web UI asks for confirmation and then sends it.

The distinction that matters is between an agent quietly ignoring a blocker and someone choosing to override one. Dependencies stay within one task — a checklist item waiting on something under a *different* task is a task-level dependency, and task_update depends_on already models that.


Comments as a decision trail

comment_add({ task_id: 5, content: "Investigated root cause: CORS headers missing on preflight" })

comment_add({ task_id: 5, content: "Fixed by adding OPTIONS handler. Tested with curl." }) task_update({ id: 5, status: "done" })

Comments persist across sessions — next time an agent calls task_get(5), it sees the full thread.

If a comment turns out to b

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