Agent-Native Calendar
Agent-Native Google Calendar - manage events, sync, and public booking
作者提供的说明(英文原文)
MCP server for TickTick task management: field-preserving updates and completion tracking.
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。
TICKTICK_CLIENT_ID, TICKTICK_CLIENT_SECRET, TICKTICK_USERNAME, TICKTICK_PASSWORD标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。
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": {
"ticktick": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"TICKTICK_CLIENT_ID",
"-e",
"TICKTICK_CLIENT_SECRET",
"-e",
"TICKTICK_USERNAME",
"-e",
"TICKTICK_PASSWORD",
"ghcr.io/partymola/ticktick-mcp:v0.7.0"
],
"env": {
"TICKTICK_CLIENT_ID": "your-value",
"TICKTICK_CLIENT_SECRET": "your-value",
"TICKTICK_USERNAME": "your-value",
"TICKTICK_PASSWORD": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add ticktick --env TICKTICK_CLIENT_ID=your-value --env TICKTICK_CLIENT_SECRET=your-value --env TICKTICK_USERNAME=your-value --env TICKTICK_PASSWORD=your-value -- docker run -i --rm -e TICKTICK_CLIENT_ID -e TICKTICK_CLIENT_SECRET -e TICKTICK_USERNAME -e TICKTICK_PASSWORD ghcr.io/partymola/ticktick-mcp:v0.7.0运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"ticktick": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"TICKTICK_CLIENT_ID",
"-e",
"TICKTICK_CLIENT_SECRET",
"-e",
"TICKTICK_USERNAME",
"-e",
"TICKTICK_PASSWORD",
"ghcr.io/partymola/ticktick-mcp:v0.7.0"
],
"env": {
"TICKTICK_CLIENT_ID": "your-value",
"TICKTICK_CLIENT_SECRET": "your-value",
"TICKTICK_USERNAME": "your-value",
"TICKTICK_PASSWORD": "your-value"
}
}
}
}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": {
"ticktick": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"TICKTICK_CLIENT_ID",
"-e",
"TICKTICK_CLIENT_SECRET",
"-e",
"TICKTICK_USERNAME",
"-e",
"TICKTICK_PASSWORD",
"ghcr.io/partymola/ticktick-mcp:v0.7.0"
],
"env": {
"TICKTICK_CLIENT_ID": "your-value",
"TICKTICK_CLIENT_SECRET": "your-value",
"TICKTICK_USERNAME": "your-value",
"TICKTICK_PASSWORD": "your-value"
}
}
}
}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。
TICKTICK_CLIENT_ID envTICKTICK_USERNAME env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8日
注册名称已通过 GitHub 账户 partymola 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。
你需要填写:TICKTICK_CLIENT_SECRET, TICKTICK_PASSWORD
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(0.7.0)于前天进入注册中心。
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 Docker。
同一分类中有:Agent-Native Calendar, Excel MCP Server, MCP Server for Excel
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ 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
Agent-Native Google Calendar - manage events, sync, and public booking
Create and edit Excel files with AI: charts, PivotTables, formulas. No Excel needed.
Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.
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。
MCP server for TickTick task management. Create, update, complete, move, and filter tasks through TickTick's Open and v2 APIs, with field-preserving updates, day-of-week date validation, read-after-write verification, and idempotent completion tracking.
Designed for Claude Code and other MCP clients.
Unofficial. Not affiliated with TickTick Ltd. Built on ticktick-py (MIT).
ticktick_update_task re-fetches the task and overlays only the fields you set, sending its other editable fields back with them_verification_warnings when it doesn't matchgit clone https://github.com/partymola/ticktick-mcp
cd ticktick-mcp uv sync
This creates a .venv and installs from uv.lock, giving you the console script at .venv/bin/ticktick-mcp, or .venv\Scripts\ticktick-mcp on Windows. Every command below names it the POSIX way.
pip install . works too. The fork of ticktick-py this server needs is pinned as a direct git reference inside dependencies, which pip and uv both honour; uv sync is recommended because it installs the exact versions in uv.lock rather than re-resolving them.
TickTick sign-in needs two things: an OAuth app (client ID + secret) and your own account login.
http://localhost:8080/redirect. Note the Client ID and Client Secret. mkdir -p ~/.config/ticktick-mcp && cp .env.example ~/.config/ticktick-mcp/.env
TICKTICK_CLIENT_ID=your_client_id
TICKTICK_CLIENT_SECRET=your_client_secret TICKTICK_REDIRECT_URI=http://localhost:8080/redirect TICKTICK_USERNAME=your_ticktick_email TICKTICK_PASSWORD=your_ticktick_password
chmod 700 ~/.config/ticktick-mcp
chmod 600 ~/.config/ticktick-mcp/.env
Those are POSIX mode bits, and on Windows they do nothing: access there follows the ACLs the file inherits from its parent directory. No Windows equivalent of the two commands is documented here.
The two token files beside it are created owner-only, and a config directory the server creates is too - but one it finds already there is left as it is. Those are POSIX modes as well, set on Windows too, where they do not narrow who may read what.
Authorise once, at a terminal, before registering the server:
.venv/bin/ticktick-mcp auth
It opens a browser and asks you to paste back the URL you land on, then exits. The token is cached next to your .env as .token-oauth, and every later start reuses it. TickTick issues no refresh token, so this recurs when the token expires - run the same command again.
Do not let that step happen inside the MCP server. The prompt reads from standard input, which for a stdio server is the JSON-RPC channel, so an unauthorised first tool call opens a browser on the host and blocks. In a container it cannot be completed at all - run auth on the host and mount the config directory in.
The username/password half needs no separate step: the server logs in lazily on the first tool call and caches that session token as .token-v2, so it does not re-submit your credentials on every start.
The server looks for .env in this order: the --dotenv-dir argument, then the TICKTICK_MCP_DOTENV_DIR environment variable, then ~/.config/ticktick-mcp/. If no .env is found it falls back to the TICKTICK_* environment variables directly, which is convenient for container/CI use.
Your TickTick credentials live only in your local .env (or the environment) and are sent only to TickTick's own servers - never to the developer or any third party. The server reads and writes only your own account.
This server relies on TickTick's unofficial v2 API (via ticktick-py) rather than only the official Open API. That is a deliberate choice: the official API has no list-completed-tasks endpoint, no tags, and no cross-project task listing - all of which this server relies on. Reads, completed lists, delete, move and subtask go through v2, as does removing a reminder. Create, update and complete use the Open API. See docs/why-not-the-official-api.md for the full rationale, the risk trade-off, and the triggers that would make us reconsider.
claude mcp add -s user ticktick -- /path/to/ticktick-mcp/.venv/bin/ticktick-mcp --dotenv-dir /path/to/config
--dotenv-dir is optional if your .env lives in ~/.config/ticktick-mcp/ or you supply the TICKTICK_* variables through the environment.
Then ask Claude things like:
Images are published to ghcr.io/partymola/ticktick-mcp. Tags carry a v prefix (:vX.Y.Z), and :latest follows the most recent release.
Authorise on a machine with a browser first, then mount that directory in. This is the only route, and it holds even with docker run -it: the underlying library opens the browser itself and never prints the URL, so there is nothing to copy out of a container that has no browser. It then waits for that URL on standard input, which for a stdio server is the JSON-RPC channel - so a container started against a directory with no cached token does not fail cleanly either, it consumes your client's requests waiting for input that never arrives.
Authorising needs a source install (Install) and the credentials from Credentials - there is no published package to run it from. Do not `pip install ticktick-mcp`: that name on PyPI belongs to an unrelated project with a near-identical description.
.venv/bin/ticktick-mcp auth # once, on the host, in a terminal
claude mcp add -s user ticktick -- \ docker run --rm -i --user $(id -u):$(id -g) \ -v ~/.config/ticktick-mcp:/data \ ghcr.io/partymola/ticktick-mcp:latest
-i is required - the server speaks JSON-RPC over stdin and stdout.
--user is there because the container runs as root by default, and anything it writes into the mounted directory becomes root-owned - after which the host-side ticktick-mcp can no longer update its session-token cache and falls back to a throttled signon on every start. You will run it on the host again: the OAuth token has no refresh, so auth recurs at expiry.
Mount a directory that is already authorised, never an empty volume. /data holds the .env, the cached OAuth token, the v2 session token and the completion-tracking database. A fresh volume has none of them, and the password-signon fallback is throttled into a 15-30 minute lockout.
If you would rather not keep a .env on disk at all, pass the credentials as environment variables instead. The mount is still needed - it holds the token cache, not just the .env:
docker run --rm -i --user $(id -u):$(id -g) \
-v ~/.config/ticktick-mcp:/data \ -e TICKTICK_CLIENT_ID -e TICKTICK_CLIENT_SECRET \ -e TICKTICK_USERNAME -e TICKTICK_PASSWORD \ ghcr.io/partymola/ticktick-mcp:latest
Naming each variable without a value passes it through from your shell, so no secret appears in the command or in shell history. These override a mounted .env: the file is loaded without override, so anything already in the environment wins. Authorising still needs those variables exported on the host, since auth has no .env to read either.
ticktick-mcp Start the MCP server (stdio transport)
ticktick-mcp --dotenv-dir PATH Directory holding the .env file ticktick-mcp --version Print the installed package version
auth is the only other subcommand, and it exists so the browser step happens at a terminal rather than inside the server. All task operations happen through the MCP tools below.
| Tool | Description |
|---|---|
ticktick_create_task | Create a task, preserving date/reminder/priority/timezone fields; attaches _verification_warnings for anything worth knowing about what landed |
ticktick_update_task | Update a task by overlaying only the fields you set onto the current server object |
ticktick_complete_task | Mark a task complete and re-verify; distinguishes a recurring task rolling forward from a normal completion, and records the completion as processed |
ticktick_delete_tasks | Delete one or more tasks by ID |
ticktick_move_task | Move a task into a different project |
ticktick_make_subtask | Nest one task as a subtask of another in the same project |
ticktick_get_tasks_from_project | List every open task in a project (compact or full) |
ticktick_filter_tasks | Find tasks by any mix of project, priority, tag, status, and due/completion-date window |
ticktick_get_by_id | Look up any task, project, or tag by its full ID |
ticktick_get_all | Dump all projects or all tags from local state |
ticktick_sync | Force an immediate refresh of local state from the server |
ticktick_get_unprocessed_completions | List recently completed tasks in a project not yet marked processed; in practice, the ones completed outside this server |
ticktick_mark_completion_processed | Record that a completed task has been reviewed, excluding it from future checks |
ticktick_convert_datetime_to_ticktick_format | Convert an ISO 8601 datetime + IANA timezone to TickTick's wire format |
Every tool that takes a project ID also takes the project's name - ticktick_create_task, ticktick_get_tasks_from_project, ticktick_update_task, ticktick_move_task, ticktick_delete_tasks, ticktick_filter_tasks, and both completion-tracking tools:
ticktick_create_task(title只显示了开头部分;其余内容请在仓库中阅读