InsightBaZi
BaZi (Four Pillars) calculation from birth date, time, and location via public remote MCP.
作者提供的说明(英文原文)
Timezone-correct CalDAV scheduling MCP server with validated recurrence and single-occurrence edits.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"cal-scheduler": {
"command": "uvx",
"args": [
"cal-scheduler-mcp"
]
}
}
}在终端中运行这条命令
claude mcp add cal-scheduler -- uvx cal-scheduler-mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"cal-scheduler": {
"command": "uvx",
"args": [
"cal-scheduler-mcp"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"cal-scheduler": {
"type": "stdio",
"command": "uvx",
"args": [
"cal-scheduler-mcp"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月9日
注册名称已通过 GitHub 账户 limey 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(1.1.3)于3个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Python (uv)。
同一分类中有:InsightBaZi, Japan Places — Japan Data Foundry, Hotel Mondschein, Stuben am Arlberg
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
BaZi (Four Pillars) calculation from birth date, time, and location via public remote MCP.
Japan POI tools for AI agents: 2.94M facilities, station catchments, chains, grants and signals
Ski hotel, chalet and motel in Stuben am Arlberg: rooms, live prices, dining, events, ski area.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
If you are an agent installing this MCP, read [AGENTS.md](https://github.com/limey/cal-scheduler-mcp/blob/main/AGENTS.md) first.
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.
Most calendar tooling an LLM reaches for gets three things subtly wrong. cal-scheduler fixes them by construction:
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.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.EXDATE) or move one instance (RECURRENCE-ID) without disturbing the rest of the series — the operations naive wrappers tend to lack.A small uv Python package that composes mature libraries rather than implementing a calendar engine:
| Module | Role |
|---|---|
config.py | environment config (CALDAV_*, CAL_DEFAULT_TZ) |
timezones.py | parse datetimes; naive → assume default-zone wall time, offset → normalise into the zone; report what was assumed |
ical.py | build/parse VEVENTs (icalendar), expand ranges (recurring-ical-events), recurrence validation, EXDATE/RECURRENCE-ID ops |
store.py | CalDAV transport (caldav) — list/create/delete calendars, get/put/delete events, read-modify-write with etag |
server.py | the 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.
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
gh repo clone limey/cal-scheduler-mcp uv tool install --editable /path/to/cal-scheduler-mcp
uv tool install git+ssh://git@github.com/limey/cal-scheduler-mcp
Don't
uv add cal-scheduler-mcpfor the MCP —uv addwrites
into whatever project you're sitting in, not into the tool
environment. For an MCP server (spawned as a subprocess),
uv tool installis the right shape.
All configuration is via environment variables:
| Variable | Required | Default | Meaning |
|---|---|---|---|
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_TZ | Pacific/Auckland | IANA 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.
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).
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.
Every event is stored zoned to CAL_DEFAULT_TZ.
2026-06-30T21:00) is assumed to be wall time in that zone, and the tool response says so ("assumed Pacific/Auckland wall time").…+12:00) is honoured as an instant and re-expressed in the zone — same wall clock when the offset matches, a correct conversion otherwise.2026-06-30) is an all-day event.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.
MIT © 2026 Robert Clark