TickTick MCP Server

The TickTick MCP Server bridges the gap between AI assistants and the TickTick task‑management ecosystem. By exposing a set of well‑defined tools through the Model Context Protocol, it allows conversational agents to read, create, update, and delete tasks or projects directly within a user’s TickTick account. This eliminates the need for developers to build custom API wrappers or handle OAuth flows manually, enabling rapid integration of task‑management workflows into AI‑driven productivity tools.

At its core, the server translates MCP tool calls into TickTick Open API requests. When an AI assistant invokes a tool such as , the server authenticates with the stored access token, forwards the request to TickTick, and returns a structured JSON payload that the assistant can consume. This pattern is repeated for project‑level operations, giving developers a single, consistent interface to manage both tasks and projects from within the assistant’s context.

Key capabilities include:

• Task Lifecycle Management – Create, read, update, complete, and delete tasks with rich metadata (due dates, priorities, all‑day flags).
• Project Operations – List existing projects or instantiate new ones with custom names.
• Fine‑grained Control – Optional parameters such as or allow assistants to fetch subsets of data, reducing bandwidth and improving relevance.
• Secure Authentication – The server handles OAuth2 token exchange once, then reuses the access token for all subsequent calls, ensuring that sensitive credentials never leave the server environment.

Real‑world scenarios where this MCP shines include:

• Personal Productivity Bots – A virtual assistant can ask a user to “add a meeting reminder” and immediately create the task in TickTick, then later confirm completion or reschedule.
• Team Collaboration – An AI can sync meeting notes into a shared project, assign tasks to team members, and update statuses as discussions progress.
• Automation Pipelines – Scripts that run on schedule can query TickTick for overdue tasks, generate reports, or trigger follow‑up reminders via the assistant.

Integration into AI workflows is straightforward: developers expose the TickTick MCP Server to their chosen LLM platform, configure the assistant’s tool list, and rely on the protocol’s context handling to pass task details back and forth. The server’s TypeScript foundation ensures type safety for developers, while the MCP interface guarantees that any LLM capable of tool invocation can interact with TickTick without bespoke code.

In summary, the TickTick MCP Server delivers a ready‑to‑use bridge between AI assistants and task management, streamlining development, enhancing productivity, and providing a secure, scalable solution for automating everyday work tasks.