ticktick-mcp
MCP server for TickTick using the official OAuth 2.0 API. Create, list, update, complete, and delete tasks just by talking to Claude.
README
TickTick MCP Server — AI Task Management for Claude
Stop switching apps. Just talk.
Connect Claude to your TickTick account and manage your entire task list through natural conversation — create tasks, check what's due, complete items, and stay organized without ever opening the TickTick app.
"Remind me to call the dentist on Friday" → ✅ Task created in TickTick, instantly.
What You Can Do
- Capture tasks instantly — say it out loud, Claude creates it in TickTick
- Check your day — "What's on my plate today?" gives a clean summary across all projects
- Manage priorities — Claude understands "urgent", "ASAP", "when you get a chance"
- Natural due dates — "next Monday", "end of month", "this Friday" all work
- Organize by project — add tasks to specific lists without touching the app
- Mark things done — "I finished the dentist task" → marked complete
- Full CRUD — create, read, update, complete, and delete tasks
Installation
Prerequisites
- A TickTick account
- Python 3.10+
- Claude Code or Cowork
Step 1 — Clone and install dependencies
git clone https://github.com/Salen-Project/ticktick-mcp
cd ticktick-mcp
python3 -m venv .venv
.venv/bin/pip install -r requirements.txt
Step 2 — Register a TickTick app
- Go to developer.ticktick.com
- Click New App → fill in any name
- Set OAuth Redirect URL to:
http://localhost:8080/callback - Copy your Client ID and Client Secret
Step 3 — Authenticate
TICKTICK_CLIENT_ID=your_id TICKTICK_CLIENT_SECRET=your_secret .venv/bin/python3 setup_auth.py
This opens your browser to authorize the app. Click Allow — tokens are saved automatically to ~/.ticktick_mcp/tokens.json and refresh in the background.
Step 4 — Register with Claude Code
claude mcp add ticktick -- /path/to/ticktick-mcp/.venv/bin/python3 /path/to/ticktick-mcp/server.py
Replace /path/to/ticktick-mcp with the actual path (e.g. $HOME/ticktick-mcp).
Step 5 — Add the productivity skill (optional but recommended)
Copy skills/ticktick/SKILL.md into your Claude skills folder so Claude automatically recognizes task language in any conversation:
mkdir -p ~/.claude/skills/ticktick
cp skills/ticktick/SKILL.md ~/.claude/skills/ticktick/
Usage Examples
Once connected, just talk naturally:
| You say | What happens |
|---|---|
| "Remind me to call the dentist on Friday" | Task created with Friday due date |
| "Add 'review Q1 report' to my Work project, high priority" | Task added to Work list, priority High |
| "What's on my to-do list today?" | Summary of today's tasks across all projects |
| "I finished the dentist task" | Task marked complete |
| "What did I add this week?" | Lists recently created tasks |
| "Delete the dentist task" | Task permanently deleted |
MCP Tools Reference
| Tool | Description |
|---|---|
ticktick_list_projects |
List all your TickTick projects/lists |
ticktick_list_tasks |
List tasks in a specific project |
ticktick_create_task |
Create a task with title, due date, priority, project |
ticktick_get_task |
Get full details of a specific task |
ticktick_update_task |
Update a task's title, due date, or priority |
ticktick_complete_task |
Mark a task as completed |
ticktick_delete_task |
Permanently delete a task |
Install as a Cowork Plugin
This repo is structured as a Claude plugin. Add it in Cowork:
- Open Manage Plugins → Marketplaces tab
- Paste:
https://github.com/Salen-Project/ticktick-mcp - Click Add
Or via Claude Code CLI:
claude plugins add Salen-Project/ticktick-mcp
The plugin includes the TickTick skill, which teaches Claude to automatically recognize task-related language in any conversation — no need to say "use TickTick" every time.
Why This Over Other TickTick Integrations?
- ✅ Official API — uses TickTick's open OAuth 2.0 API, not unofficial endpoints
- ✅ Automated OAuth — one-command setup, tokens refresh automatically in the background
- ✅ Cowork skill included — Claude proactively recognizes task language without explicit prompting
- ✅ Privacy-first — runs 100% locally, your data never passes through a third-party server
- ✅ Full CRUD — not read-only; create, update, complete, and delete tasks
Troubleshooting
"Given client ID does not match" — Double-check your Client ID on developer.ticktick.com. It's case-sensitive.
Port 8080 already in use — Run lsof -ti:8080 | xargs kill -9 then retry setup_auth.py.
Tokens expired — Re-run setup_auth.py to get fresh tokens.
Claude doesn't recognize TickTick commands — Make sure the MCP is registered (claude mcp list) and the skill is installed.
Links
License
MIT © Salen-Project
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.