Agent-Native Calendar
Agent-Native Google Calendar - manage events, sync, and public booking
Description from the maker (original English)
Jira-like project tracker for AI agents with SQLite, full task hierarchy, and dashboard
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
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Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"saga": {
"command": "npx",
"args": [
"-y",
"saga-mcp"
]
}
}
}Run this in your terminal
claude mcp add saga -- npx -y saga-mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"saga": {
"command": "npx",
"args": [
"-y",
"saga-mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"saga": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"saga-mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026
The registry name was verified with the GitHub account spranab, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (1.19.0) reached the registry 39 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Agent-Native Google Calendar - manage events, sync, and public booking
Lets AI create and edit Excel files itself, including formulas, charts and PivotTables, without Excel installed.
Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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.
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.
| Variable | Required | Description |
|---|---|---|
DB_PATH | Yes | Path to the .tracker.db SQLite file. Created on first use. |
SAGA_PROJECT | No | Scope every tool to one project, by id or name. Set this per repo when several repos share one database. |
SAGA_DESCRIPTION_LOCK | No | on_progress locks a task's description the moment work starts on it. Off by default. See keeping agents on the rails. |
SAGA_TOOLS | No | full (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.
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:
saga-web serves the same database in a browser, read *and* write{variable} substitution, editable in placetracker_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.
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.
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.
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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