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cal-scheduler

by limeyversion 1.1.3i★ –iRuns on your computer
Registry nameio.github.limey/cal-scheduler-mcp

Install

Overview

Description from the maker (original English)

Timezone-correct CalDAV scheduling MCP server with validated recurrence and single-occurrence edits.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Travel, maps & weather

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

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": {
    "cal-scheduler": {
      "command": "uvx",
      "args": [
        "cal-scheduler-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add cal-scheduler -- uvx cal-scheduler-mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "cal-scheduler": {
      "command": "uvx",
      "args": [
        "cal-scheduler-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.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "cal-scheduler": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "cal-scheduler-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.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

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 9, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account limey, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Travel, maps & weatheri

  • More stars than 0% of the other 1736 servers in this category
  • Published to the registry more recently than 25% of the other 1736 servers in this category
  • Basic checks equal to or better than 100% of the other 1736 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is cal-scheduler safe?

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.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

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).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.1.3) reached the registry 3 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: CarHauler247 Car Shipping Quotes, Park Graph, Open Transfer Times

Alternatives

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README from the maker

Open the README

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.

If you are an agent installing this MCP, read [AGENTS.md](https://github.com/limey/cal-scheduler-mcp/blob/main/AGENTS.md) first.

cal-scheduler

A thin, timezone-correct MCP server for scheduling against any CalDAV calendar. It gives an LLM agent a small, strict set of calendar tools and does the deterministic, fiddly parts of iCalendar correctly so the model doesn't have to.

It is not an NLP layer: the agent phrases the request, the server validates it, rejects bad input loudly, and persists clean zoned .ics.

Why it exists

Most calendar tooling an LLM reaches for gets three things subtly wrong. cal-scheduler fixes them by construction:

  • Stores zoned, not bare UTC. Events are written with TZID/VTIMEZONE, so a weekly 9am *stays* 9am across a daylight-saving boundary instead of drifting an hour. Storing bare UTC is the classic cause of that drift.
  • Validates recurrence. It rejects an RRULE whose anchor contradicts it (e.g. a series starting on the 30th but set to repeat on the 1st), and normalises UNTIL to UTC under a zoned DTSTART as RFC 5545 requires.
  • Does real single-occurrence edits. Exclude one instance (EXDATE) or move one instance (RECURRENCE-ID) without disturbing the rest of the series — the operations naive wrappers tend to lack.

How it works

A small uv Python package that composes mature libraries rather than implementing a calendar engine:

ModuleRole
config.pyenvironment config (CALDAV_*, CAL_DEFAULT_TZ)
timezones.pyparse datetimes; naive → assume default-zone wall time, offset → normalise into the zone; report what was assumed
ical.pybuild/parse VEVENTs (icalendar), expand ranges (recurring-ical-events), recurrence validation, EXDATE/RECURRENCE-ID ops
store.pyCalDAV transport (caldav) — list/create/delete calendars, get/put/delete events, read-modify-write with etag
server.pythe FastMCP stdio server and the tool surface

It runs as a stdio MCP server that an MCP host (Claude, an agent harness, etc.) spawns as a subprocess.

Install

Requires Python ≥ 3.11. The package is on PyPI as cal-scheduler-mcp:

uv tool install cal-scheduler-mcp

(or pip install cal-scheduler-mcp, uvx --from cal-scheduler-mcp cal-scheduler, etc.)

For editable dev work, install from a clone:

# run straight from the repo with uv (no global install)

uv run --directory /path/to/cal-scheduler-mcp cal-scheduler

or install the console script into a tool environment

gh repo clone limey/cal-scheduler-mcp uv tool install --editable /path/to/cal-scheduler-mcp

or, with SSH GitHub access, in one step:

uv tool install git+ssh://git@github.com/limey/cal-scheduler-mcp

Don't uv add cal-scheduler-mcp for the MCP — uv add writes

into whatever project you're sitting in, not into the tool

environment. For an MCP server (spawned as a subprocess),

uv tool install is the right shape.

Configure

All configuration is via environment variables:

VariableRequiredDefaultMeaning
CALDAV_BASE_URL✅—CalDAV server URL, e.g. http://127.0.0.1:5232
CALDAV_USERNAME—CalDAV account user
CALDAV_PASSWORD—CalDAV account password
CAL_DEFAULT_TZPacific/AucklandIANA zone every event is stored in

Many MCP hosts strip inherited environment from stdio servers, so set these in the host's per-server env block rather than relying on the ambient shell.

Example MCP host config

The MCP runs as a stdio subprocess that the host spawns. Many hosts strip inherited PATH from that subprocess, so wire the uv run --directory form rather than relying on the cal-scheduler shim being on the spawn host's PATH:

{

"mcpServers": { "cal-scheduler": { "command": "uv", "args": ["run", "--directory", "/abs/path/to/cal-scheduler-mcp", "cal-scheduler"], "env": { "CALDAV_BASE_URL": "http://127.0.0.1:5232", "CALDAV_USERNAME": "me", "CALDAV_PASSWORD": "secret", "CAL_DEFAULT_TZ": "Pacific/Auckland" } } } }

/abs/path/to/cal-scheduler-mcp is the absolute path to a local clone of this repo (see *Install* above).

If you installed from PyPI with uv tool install cal-scheduler-mcp, use the installed shim directly:

{

"mcpServers": { "cal-scheduler": { "command": "/path/to/cal-scheduler", "env": { "CALDAV_BASE_URL": "http://127.0.0.1:5232", "CALDAV_USERNAME": "me", "CALDAV_PASSWORD": "secret", "CAL_DEFAULT_TZ": "Pacific/Auckland" } } } }

Find the shim path with which cal-scheduler or uv tool list --show-paths.

Pair it with any CalDAV server. A simple self-hosted option is Radicale (plain http://, no TLS needed for local use).

Tool surface

Events — list_events(start, end, [calendar]), create_event(summary, start, [end, calendar, description, location, rrule]), update_event(uid, …), delete_event(uid, [calendar]), exclude_occurrence(uid, occurrence, [calendar]), move_occurrence(uid, occurrence, new_start, [new_end, calendar]), mark_done(uid, [calendar]) — tag an event done and record the timestamp.

Calendars — list_calendars, create_calendar(name), delete_calendar(name).

Helper — resolve_datetime(value) — preview how a datetime will be interpreted, without writing anything.

The timezone rule (the whole point)

Every event is stored zoned to CAL_DEFAULT_TZ.

  • A naive datetime (2026-06-30T21:00) is assumed to be wall time in that zone, and the tool response says so ("assumed Pacific/Auckland wall time").
  • An offset-qualified datetime (…+12:00) is honoured as an instant and re-expressed in the zone — same wall clock when the offset matches, a correct conversion otherwise.
  • A date-only value (2026-06-30) is an all-day event.

Develop

uv sync                 # install deps + dev tools

uv run ruff check # lint uv run pytest # unit tests (no server required)

The unit tests cover the pure layers (timezone resolution, recurrence validation, EXDATE/RECURRENCE-ID construction) and need no running CalDAV server. To exercise the full stack end to end, point CALDAV_BASE_URL at a throwaway CalDAV account.

License

MIT © 2026 Robert Clark

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