TickTick MCP connector for AI agents

Tools your agent reaches for on TickTick MCP, scoped per user.

CALL ANY TOOL

Manage tasks, projects, habits, and Pomodoro focus sessions in TickTick. Same toolkit, every framework, no auth plumbing.

ticktickmcp_add_comment

Add comment

Add a plain-text comment (max 1024 characters) to a task.

Parameters

Name

Type

Required

Description

project_id

string

Required

Unique ID of the project. Get it from list_projects.

task_id

string

Required

Unique ID of the task. Get it from search_task or get_task_in_project.

title

string

Required

Text content of the comment (plain text, max 1024 characters).

ticktickmcp_assign_task

Assign task

ticktickmcp_batch_update_tasks

Batch update tasks

ticktickmcp_complete_task

Complete task

ticktickmcp_create_column

Create column

ticktickmcp_create_focus

Create focus

ticktickmcp_create_project

Create project

ticktickmcp_create_tag

Create tag

ticktickmcp_delete_comment

Delete comment

ticktickmcp_delete_project_group

Delete project group

ticktickmcp_fetch

Fetch

ticktickmcp_filter_tasks

Filter tasks

ticktickmcp_get_comment

Get comment

ticktickmcp_get_focus

Get focus

ticktickmcp_get_habit

Get habit

ticktickmcp_get_project_by_id

Get project by id

ticktickmcp_get_project_with_undone_tasks

Get project with undone tasks

ticktickmcp_get_task_in_project

Get task in project

ticktickmcp_list_columns

List columns

ticktickmcp_list_completed_tasks_by_date

List completed tasks by date

ticktickmcp_list_habit_sections

List habit sections

ticktickmcp_list_project_groups

List project groups

ticktickmcp_list_projects

List projects

ticktickmcp_list_undone_tasks_by_date

List undone tasks by date

ticktickmcp_move_task

Move task

ticktickmcp_search

ticktickmcp_update_column

Update column

ticktickmcp_update_project

Update project

ticktickmcp_update_project_group

Update project group

ticktickmcp_upsert_habit_checkins

Upsert habit checkins

For more tools, view docs.

Build your Agent

Drop the toolkit in, point it at the user, and your agent can manage TickTick tasks and projects from the first run.

import { ScalekitClient } from "@scalekit-sdk/node";
import { DynamicStructuredTool } from "@langchain/core/tools";
import { createReactAgent } from "@langchain/langgraph/prebuilt";
import { z } from "zod";

const sk = new ScalekitClient(envUrl, clientId, clientSecret);

const { tools } = await sk.tools.listScopedTools("user_123", {
  filter: { connectionNames: ["ticktickmcp"], toolNames: ["ticktick_tasks_list", "ticktick_task_create", "ticktick_task_complete"] },
  pageSize: 100,
});

const lcTools = tools.map((t) => new DynamicStructuredTool({
  name: t.tool.definition.name,
  description: t.tool.definition.description,
  schema: z.object({}).passthrough(),
  func: async (args) => {
    const { data } = await sk.tools.executeTool({
      toolName: t.tool.definition.name,
      identifier: "user_123",
      params: args,
    });
    return JSON.stringify(data);
  },
}));

const agent = createReactAgent({ llm, tools: lcTools });

import { ScalekitClient } from "@scalekit-sdk/node";
import OpenAI from "openai";

const sk = new ScalekitClient(envUrl, clientId, clientSecret);
const openai = new OpenAI();

const { tools } = await sk.tools.listScopedTools("user_123", {
  filter: { connectionNames: ["ticktickmcp"], toolNames: ["ticktick_tasks_list", "ticktick_task_create", "ticktick_task_complete"] },
  pageSize: 100,
});

const llmTools = tools.map((t) => ({
  type: "function",
  function: {
    name: t.tool.definition.name,
    description: t.tool.definition.description,
    parameters: t.tool.definition.input_schema,
  },
}));

const resp = await openai.responses.create({
  model: "gpt-4o", input: prompt, tools: llmTools,
});

import { ScalekitClient } from "@scalekit-sdk/node";
import Anthropic from "@anthropic-ai/sdk";

const sk = new ScalekitClient(envUrl, clientId, clientSecret);
const anthropic = new Anthropic();

const { tools } = await sk.tools.listScopedTools("user_123", {
  filter: { connectionNames: ["ticktickmcp"], toolNames: ["ticktick_tasks_list", "ticktick_task_create", "ticktick_task_complete"] },
  pageSize: 100,
});

const llmTools = tools.map((t) => ({
  name: t.tool.definition.name,
  description: t.tool.definition.description,
  input_schema: t.tool.definition.input_schema,
}));

const msg = await anthropic.messages.create({
  model: "claude-sonnet-4-6", max_tokens: 1024,
  tools: llmTools,
  messages: [{ role: "user", content: prompt }],
});

import { Agent } from "@google/adk/agents";
import {
  MCPToolset, StreamableHTTPConnectionParams,
} from "@google/adk/tools/mcp";

const toolset = new MCPToolset({
  connectionParams: new StreamableHTTPConnectionParams({
    url: "https://mcp.scalekit.com/ticktickmcp",
    headers: { Authorization: `Bearer ${userScopedToken}` },
  }),
});

const agent = new Agent({
  name: "agent", model: "gemini-2.0-flash",
  tools: await toolset.getTools(),
});

Try these prompts

Paste any prompt into your productivity agent to start managing TickTick tasks and habits.

Search & recall

Copy the prompt

Copied

List all overdue tasks across all my projects.

Copy the prompt

Copied

Show my habits and current streak for each.

Copy the prompt

Copied

Get my Pomodoro focus session stats for this week.

Action & create

Copy the prompt

Copied

Create a task: [title] due [date] with priority [high] in [project].

Copy the prompt

Copied

List all high-priority tasks in the [project] project.

Copy the prompt

Copied

Show all incomplete tasks due today.

SEE HOW AUTH WORKS

Users authorize TickTick once. Their credentials stay vaulted, every task action runs under their identity, and every call is logged.

Authorize

Your user connects

TickTick MCP

once. We tie it to their identity and the meetings they approved — no shared bot account, no org-wide access

Who:

user ‘A’

when:

Once per user

access:

Limited to user

Store

Their

TickTick MCP

token lives in a vault scoped to them. User A's meetings are never reachable by an agent acting for user B, even on the same connection

vault:

encrypted

scope:

per-user

tokens:

auto-refreshed

Resolve

When your agent calls a

TickTick MCP

tool, we fetch the right token server-side. It never touches your agent, never appears in the LLM context, never shows up in your logs

speed:

~40ms

check:

before every call

seen by:

nobody

Audit

Every

TickTick MCP

tool call is logged — who triggered it, which meeting was fetched, what came back. 90 days of history, tied to the user who authorized it

history:

90 days

export:

SIEM-ready

logged:

every call

Test other agents

Same per-user auth pattern across other productivity and project management connectors.

Support and Ops Teams

Email-to-calendar agent

Reads scheduling intent out of Gmail threads, resolves the times everyone actually has free, and creates the event on the user's own Google Calendar. No shared service account.

Gmail

Google Calendar

View agent

Support and Ops Teams

Meeting prep

Pulls agenda, participant context, and open action items before every meeting.

GTM and RevOps Teams

Sales call prep agent

Reads tomorrow's calls from Google Calendar, mines past Granola notes and Attio history for context, and delivers each rep a prep brief in Slack, scoped to the calls that rep actually owns.

GTM and RevOps Teams

CRM AI agent

Reads the Granola transcript after every call, extracts next steps and updates the HubSpot record, drafts the follow-up in Gmail, and confirms in Slack, all on the rep's own delegated OAuth.

Why Scalekit

Secure your agent's access. Connectors ship in minutes

01.

Shared tokens break per-user analytics

A shared token looks fine in a demo. In production every call looks like a service account. Scalekit resolves the real user credential so attribution, audit, and scope stay accurate.

// shared token
 audit → bot_service_account
 user_filter → broken

 // scalekit
 audit → user_abc
 scope → enforced ✓

02.

Authentication is not authorization

03.

Multi-tenancy is architectural

04.

TickTick MCP today. Others tomorrow.

“Our agents act across Salesforce, Gong, Google Drive, and more, on behalf of every customer. Scalekit behind the scenes meant we can keep adding tools without ever rebuilding how credentials or tool calling work.”

Venu Madhav Kattagoni

Head of Engineering / Von

FAQs

Frequently Asked Questions

Does the agent access TickTick as the user or a shared account?

As the user. Each person authorizes once and all task actions are attributed to that user's TickTick account.

Where is the TickTick OAuth token stored?

In Scalekit's AES-256 vault, namespaced per tenant. Tokens never appear in prompts or LLM context.

Can I restrict the agent to read-only task access?

Yes. Use listScopedTools to allow task and project listing without granting task creation.

What happens when a user revokes TickTick access?

The connection is invalidated on the next tool call. Subsequent requests fail closed.

Can the agent create TickTick tasks from meeting action items in one workflow?

Yes. A single agent can pull action items from OtterAI or Fireflies and create TickTick tasks in the same workflow.

On this page

Tool and actions Framework Compatibility Starter Prompt Auth Lifecycle Try Other Agents Why Scalekit