TickTick▌
by yidianyiko
Boost productivity with TickTick—personal project management software for priority filtering, due dates, and timezone-aw
Integrates with TickTick task management platform to create, update, delete, and search tasks and projects with priority filtering, due date queries, and timezone-aware scheduling for personal productivity automation.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Personal productivity management
- / Automating task creation and updates
- / Natural language task scheduling
- / Integrating TickTick with AI assistants
capabilities
- / View all TickTick projects and tasks
- / Create new tasks and projects through natural language
- / Update task details including priority and due dates
- / Mark tasks as complete or delete them
- / Search and filter tasks by priority and due dates
- / Query tasks from Inbox and other projects
what it does
Connects to your TickTick account to manage tasks and projects through natural language commands. Create, update, complete, and search tasks with priority and due date filtering.
about
TickTick is a community-built MCP server published by yidianyiko that provides AI assistants with tools and capabilities via the Model Context Protocol. Boost productivity with TickTick—personal project management software for priority filtering, due dates, and timezone-aw It is categorized under productivity.
how to install
You can install TickTick in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
MIT
TickTick is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
TickTick MCP v2
A Model Context Protocol (MCP) server for TickTick that enables interacting with your TickTick task management system directly through Claude and other MCP clients using v2 interfaces.
Project Purpose
-
Easy Authentication: Direct username/password authentication.
-
Rich API Functionality: The v2 interfaces easy to implement more complex features. For example, other v1 TickTick interface cannot even retrieve tasks from the Inbox.
Features
- 📋 View all your TickTick projects and tasks
- ✏️ Create new projects and tasks through natural language
- 🔄 Update existing task details (title, content, dates, priority)
- ✅ Mark tasks as complete
- 🗑️ Delete tasks and projects
- 🔐 Username/password authentication with local credential storage
Quick Start
Create a mcp.json file:
{
"mcpServers": {
"ticktick-mcp-v2": {
"command": "uvx",
"args": ["--from", "ticktick-mcp-v2", "ticktick-mcp", "run"],
"env": {
"TICKTICK_USERNAME": "your_username",
"TICKTICK_PASSWORD": "your_password"
}
}
}
}
Start Using
You can now interact with your TickTick tasks directly! Try asking:
- "Show me all my TickTick projects"
- "Create a task called 'Finish documentation' with high priority"
- "What tasks do I have due today?"
Development Setup
-
Install and authenticate:
uvx --from ticktick-mcp-v2 ticktick-mcp auth -
Test the connection:
uvx --from ticktick-mcp-v2 ticktick-mcp test -
Run the server:
uvx --from ticktick-mcp-v2 ticktick-mcp run
Usage Examples
Using with other MCP clients
Any MCP-compatible client can connect using the configuration above.
Available MCP Tools
| Tool | Description | Parameters |
|---|---|---|
| Authentication | ||
auth_status | Check authentication status | None |
| Project Management | ||
get_projects | List all projects | None |
get_project | Get project details | project_id |
create_project | Create new project | name, color (optional), view_mode (optional) |
delete_project | Delete project | project_id |
get_project_tasks | Get tasks in project | project_id, include_completed (optional) |
| Task Management | ||
get_tasks | List all tasks | include_completed (optional) |
create_task | Create new task | title, project_id (optional), content (optional), start_date (optional), due_date (optional), priority (optional) |
update_task | Update task | task_id, project_id (optional), title (optional), content (optional), start_date (optional), due_date (optional), priority (optional) |
delete_task | Delete task | project_id, task_id |
complete_task | Mark task complete | task_id |
| Advanced Features | ||
search_tasks | Search tasks | query |
get_tasks_by_priority | Get tasks by priority | priority (0=None, 1=Low, 3=Medium, 5=High) |
get_tasks_due_today | Get tasks due today | None |
get_overdue_tasks | Get overdue tasks | None |
Example Prompts
- "Show me all my TickTick projects"
- "Create a task called 'Finish documentation' with high priority"
- "What tasks do I have due today?"
- "Mark the task 'Buy groceries' as complete"
- "Update task 'Meeting notes' with new due date tomorrow"
Acknowledgments
This project would not be possible without the excellent work of the following open source projects:
🎯 ticktick-py
Original Author: Michael Lazeroff
Fork Maintainer: yidianyiko
The core TickTick Python SDK that powers this MCP server. This unofficial API library provides comprehensive access to TickTick's functionality, enabling seamless integration with the TickTick task management platform.
🤝 Contributing
If you find this project useful, please consider:
- 🐛 Reporting issues or suggesting improvements
- 📖 Contributing
License
MIT License - see LICENSE file for details.
FAQ
- What is the TickTick MCP server?
- TickTick is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for TickTick?
- This profile displays 49 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Extended AI Capabilities
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Implementation Guide▌
Prerequisites
- ›Claude Desktop 0.7.0+ or Cursor IDE with MCP support
- ›Basic understanding of MCP architecture and capabilities
- ›Access credentials for integrated services (if required)
- ›Willingness to experiment and iterate on configuration
Time Estimate
15-60 minutes depending on server complexity
Installation Steps
- 1.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 7.Document successful patterns for reuse
Troubleshooting
- ⚠MCP server not loading: Check config syntax, verify installation
- ⚠Connection errors: Check network, firewall, credentials
- ⚠Feature not working: Read server docs, check required parameters
- ⚠Performance issues: Monitor resource usage, check for network latency
- ⚠Conflicts with other servers: Check port assignments, namespace collisions
Best Practices▌
✓ Do
- +Read server documentation thoroughly before setup
- +Start with simple use cases to validate functionality
- +Test in non-production environment first
- +Monitor resource usage and performance
- +Keep servers updated for bug fixes and new features
- +Document configuration for team members
- +Use environment variables for sensitive configuration
✗ Don't
- −Don't grant overly permissive access to MCP servers
- −Don't skip reading security considerations in docs
- −Don't expose sensitive data without proper controls
- −Don't run untrusted MCP servers without code review
- −Don't ignore error messages—investigate root cause
💡 Pro Tips
- ★Combine multiple MCP servers for powerful workflows
- ★Create custom MCP servers for your specific needs
- ★Share successful configurations with team
- ★Use MCP inspector for debugging
- ★Join MCP community for tips and troubleshooting
Technical Details▌
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
- Model Context Protocol (MCP)
- JSON-RPC 2.0
- stdio or HTTP transport
Compatibility
- Claude Desktop
- Cursor IDE
- Custom MCP clients
When to Use This▌
✓ Use When
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid When
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
Integration▌
- →Tool composition: Chain multiple MCP tools in workflows
- →Context augmentation: Provide AI with relevant external data
- →Action delegation: Let AI execute tasks on external systems
- →Bidirectional sync: Keep AI context and external systems in sync
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.5★★★★★49 reviews- ★★★★★Meera Agarwal· Dec 20, 2024
Strong directory entry: TickTick surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Daniel Martin· Dec 16, 2024
I recommend TickTick for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Dhruvi Jain· Dec 4, 2024
We wired TickTick into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Oshnikdeep· Nov 23, 2024
TickTick is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Meera Desai· Nov 11, 2024
I recommend TickTick for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Daniel Yang· Nov 7, 2024
Strong directory entry: TickTick surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Sofia Robinson· Oct 26, 2024
TickTick has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Ganesh Mohane· Oct 14, 2024
TickTick is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Kiara Okafor· Oct 2, 2024
TickTick reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Sofia Martinez· Sep 25, 2024
TickTick is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
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