Ticktick MCP MCP Server

Enhance your TickTick workflow with MCP server. Better filtering interface

Local serverstdioPython

What is the Ticktick MCP MCP server?

Enhance your TickTick workflow with MCP server. Better filtering interface. The ticktick mcp mcp server wraps that behind the Model Context Protocol, so an assistant can use it through 3 defined tools rather than through you.

What it actually does

Enhance your TickTick workflow with this MCP server. Built upon the ticktick-py library, it offers significantly improved filtering capabilities, allowing AI assistants and MCP-compatible applications (like Claude Desktop, VS Code Agent Mode, or mcp-use) to interact with your tasks with greater precision and power.

Adding it to your client

Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.

Its toolset

Everything the assistant can do here goes through one of these:

  • Inputs — * datetime_iso_string (string): The date/time string in ISO 8601 format
  • Prerequisites — The Prerequisites tool exposed by this server
  • Setup — 1. Register a TickTick Application: Before using the server, you need to register an application with TickTick to obtain API credentials. Follow

Configuration

You will need 2 environment variables: TICKTICK_CLIENT_ID, TICKTICK_CLIENT_SECRET. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.

  • Python >= 3.10 * Access to TickTick and API credentials (see below).

Caveats

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
  • MCP clients confirm each tool call by default. Leave that on until you have watched what the ticktick mcp mcp server does with a few real requests.

When to reach for it

Among the knowledge and memory options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Ticktick MCP's toolset — Inputs, Prerequisites, Setup — is a fair guide to whether it matches your workflow. It is maintained by jen6; worth a glance at recent repository activity before you build anything load-bearing on it.

This entry was verified against Ticktick MCP's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.

Available tools

ToolWhat it does
Inputs* datetime_iso_string (string): The date/time string in ISO 8601 format.
PrerequisitesThe Prerequisites tool exposed by this server.
Setup1. **Register a TickTick Application:** Before using the server, you need to register an application with TickTick to obtain API credentials. Follow these steps based on the ticktick-py documentation: * Go to the [TickTi

Configuration

  • Python >= 3.10 * Access to TickTick and API credentials (see below).
VariableDescriptionRequired
TICKTICK_CLIENT_IDConfiguration value read at startup.Optional
TICKTICK_CLIENT_SECRETCredential the server authenticates with.Yes

Example prompts to try

  • Use Ticktick MCP to Inputs.
  • Use Ticktick MCP to Prerequisites.
  • Use Ticktick MCP to Setup.

Frequently asked questions

You need Python >= 3.10, a TickTick account, and API credentials (Client ID, Client Secret, Redirect URI) obtained from the TickTick OpenAPI Developer portal.