productivity

TickTick

yidianyiko

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.

github stars

7

0 commentsdiscussion

Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

Username/password authentication onlyUses v2 API with enhanced featuresTimezone-aware scheduling

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

  1. Easy Authentication: Direct username/password authentication.

  2. 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

  1. Install and authenticate:

    uvx --from ticktick-mcp-v2 ticktick-mcp auth
    
  2. Test the connection:

    uvx --from ticktick-mcp-v2 ticktick-mcp test
    
  3. 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

ToolDescriptionParameters
Authentication
auth_statusCheck authentication statusNone
Project Management
get_projectsList all projectsNone
get_projectGet project detailsproject_id
create_projectCreate new projectname, color (optional), view_mode (optional)
delete_projectDelete projectproject_id
get_project_tasksGet tasks in projectproject_id, include_completed (optional)
Task Management
get_tasksList all tasksinclude_completed (optional)
create_taskCreate new tasktitle, project_id (optional), content (optional), start_date (optional), due_date (optional), priority (optional)
update_taskUpdate tasktask_id, project_id (optional), title (optional), content (optional), start_date (optional), due_date (optional), priority (optional)
delete_taskDelete taskproject_id, task_id
complete_taskMark task completetask_id
Advanced Features
search_tasksSearch tasksquery
get_tasks_by_priorityGet tasks by prioritypriority (0=None, 1=Low, 3=Medium, 5=High)
get_tasks_due_todayGet tasks due todayNone
get_overdue_tasksGet overdue tasksNone

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. 1.Install MCP server: npm install -g [package-name] or via GitHub
  2. 2.Add server configuration to ~/.claude/mcp.json
  3. 3.Provide required credentials and configuration
  4. 4.Restart Claude Desktop to load new server
  5. 5.Test basic functionality with simple prompts
  6. 6.Explore capabilities and experiment with use cases
  7. 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.

List & Promote Your MCP Server

Share your MCP server with the developer community

GET_STARTED →
MCP server reviews

Ratings

4.549 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.

showing 1-10 of 49

1 / 5