ticktick-mcp-server
Allows AI assistants to manage TickTick tasks and projects, including creating, reading, updating, completing, and moving tasks, as well as listing and creating projects.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@ticktick-mcp-serverShow my tasks due this week"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
ticktick-mcp-server
A Model Context Protocol (MCP) server that connects AI assistants to your TickTick tasks. Create, read, update, complete, and move tasks — all through natural language.
Platform: macOS only. Token storage uses the macOS Keychain. Linux and Windows support is planned.
How It Works
This server implements the Model Context Protocol, allowing AI assistants like Claude to manage your TickTick tasks through natural conversation. Once configured, you can say things like "create a task to buy groceries due Friday" or "show me all my tasks tagged @work."
Related MCP server: TickTick/Dida365 MCP Server
Prerequisites
Node.js 18 or later
A TickTick account
A TickTick OAuth app:
Create a new app
Set the Redirect URI to
http://localhost:19876/callbackCopy your Client ID and Client Secret
Setup
1. Authorize
Run once to connect the server to your TickTick account:
TICKTICK_CLIENT_ID=your_client_id \
TICKTICK_CLIENT_SECRET=your_client_secret \
npx ticktick-mcp-server-authThis opens your browser for OAuth consent and stores tokens securely in the macOS Keychain.
2. Configure Your MCP Client
Add to your MCP client config (e.g. Claude Desktop, Claude Code):
{
"mcpServers": {
"ticktick": {
"command": "npx",
"args": ["-y", "ticktick-mcp-server"],
"env": {
"TICKTICK_CLIENT_ID": "your_client_id"
}
}
}
}Available Tools
Tool | Description |
| Create a new task (title required; content, project, tags, priority, dates, recurrence optional) |
| Get full details of a single task |
| List tasks with optional filters (project, tag, date range, completion status) |
| Modify an existing task's properties (including recurrence) |
| Mark a task as done |
| Move a task between projects |
| List all projects/lists |
| Create a new project/list |
Example Prompts
Once configured, try these with your AI assistant:
"Show me my tasks due this week"
"Create a task called 'Review PR #42' in my Work project with high priority"
"Move the grocery list task to my Personal project"
"What projects do I have in TickTick?"
"Create a recurring task to pay rent on the 1st of every month"
Troubleshooting
Error | Fix |
| Re-run the auth command above to refresh tokens |
| Wait the indicated number of seconds and retry |
Auth command hangs | Ensure port 19876 is not in use by another process |
| Ensure the env var is set in your MCP client config |
Limitations
macOS only — uses the macOS Keychain for token storage
Moving a task creates a copy in the target project and completes the original; task IDs change
Listing all tasks (without a project filter) fetches each project sequentially
Subtasks and attachments are not currently supported
License
Available Tools
8 toolsticktick_complete_taskB
Use this to mark a task as done. Required: projectId and taskId.
| Name | Required | Description | Default |
|---|---|---|---|
| projectId | Yes | Project/list ID the task belongs to | |
| taskId | Yes | Task ID to complete |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description bears full responsibility for disclosing behavioral traits. 'Mark a task as done' implies a write operation, but no details are given about side effects, permissions, idempotency, or whether the task is hidden or deleted.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise at two sentences, with no wasted words. It front-loads the purpose and ends with a clear requirement statement.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple tool with two required parameters and no output schema, the description covers the basic action and inputs. However, it omits any mention of return value, error conditions, or behavior when the task is already done, leaving the agent to infer.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with clear parameter descriptions. The description redundantly states both parameters are required but adds no new semantic meaning beyond what the schema provides. Baseline score of 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('mark a task as done') and explicitly identifies the resource ('a task'). It distinguishes from sibling tools like ticktick_create_task or ticktick_update_task by focusing on completion, which is a unique operation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides minimal usage guidance, only stating required parameters. It does not advise on when to use this tool over alternatives (e.g., update_task for partial changes), nor does it mention any prerequisites or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
ticktick_create_projectA
Use this to create a new TickTick project/list. Required: name (1-200 characters).
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes | Name for the new project/list |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Lacks any behavioral details beyond the parameter requirement; no annotations exist, and the description does not mention side effects, return values, or authorization needs.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Single sentence efficiently conveys purpose and requirement with no redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Adequate for a simple creation tool with one parameter, but lacks return value information and any behavioral context (e.g., duplicate handling), which would be needed for full completeness given no output schema.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with a description for 'name'; the description merely restates schema constraints without adding new semantics.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Clearly states 'create a new TickTick project/list' with specific verb and resource, and distinguishes from sibling tools that handle tasks.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Specifies the required parameter 'name' with length constraints, but provides no guidance on when to use this tool versus alternatives or when not to use it.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
ticktick_create_taskA
Use this to create a new task in TickTick. Required: title. Optional: content, projectId (omit for Inbox), tags (array of strings), priority (0=none, 1=low, 3=medium, 5=high), dueDate, startDate (ISO 8601 strings), repeatFlag (iCalendar RRULE string).
| Name | Required | Description | Default |
|---|---|---|---|
| title | Yes | Task title | |
| content | No | Task description/notes | |
| projectId | No | Project/list ID. Omit to add to Inbox | |
| tags | No | Tags (e.g. ["@call", "@computer"]) | |
| priority | No | Priority: 0=none, 1=low, 3=medium, 5=high | |
| dueDate | No | Due date in ISO 8601 format | |
| startDate | No | Start date in ISO 8601 format | |
| repeatFlag | No | iCalendar RRULE string for recurring tasks (e.g., 'RRULE:FREQ=MONTHLY;INTERVAL=1') |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description should disclose behavioral traits. It only repeats field information from the schema (e.g., ISO 8601 format) but does not mention return values, error behavior, side effects, or any constraints beyond input format.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two sentences, front-loaded with the purpose. It lists all optional fields with inline hints, making it efficient. No redundancy, though bullet points could improve readability slightly.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description covers all input parameters sufficiently but omits information about the tool's output (e.g., returns task object, ID, or error messages). Given no output schema, this is a gap for a creation tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, but the description adds value by providing concrete examples (e.g., iCalendar RRULE string), clarifying the priority values (0,1,3,5), and the note about projectId defaulting to Inbox. These details go beyond the schema descriptions.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the purpose: 'Use this to create a new task in TickTick.' It uses a specific verb (create) and resource (task), and distinguishes from siblings like ticktick_update_task and ticktick_complete_task.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description lists required and optional fields, and hints that omitting projectId adds to Inbox. However, it does not explicitly state when to use this tool versus alternatives (e.g., ticktick_update_task for modifications) or provide exclusion criteria.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
ticktick_get_projectsA
Use this to list all TickTick projects/lists. Returns an array of projects with id, name, and other metadata. No parameters required.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden. It discloses that no parameters are required and that the return is an array containing id, name, and other metadata, which is adequate for a read-only list tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise: two sentences with no wasted words. The first sentence front-loads the purpose, and the second adds return details.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple list tool with no parameters and no output schema, the description is mostly complete. It specifies the return structure (array of projects with id, name, and other metadata). It could mention potential pagination if applicable, but for a typical project list it is sufficient.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has zero parameters (schema coverage 100% by default). The description adds value by explicitly stating 'No parameters required,' which is helpful for an agent to know there is no configuration needed.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool lists all TickTick projects/lists and returns an array with id, name, and other metadata. It is specific and distinct from sibling tools like ticktick_create_project or ticktick_get_tasks.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description starts with 'Use this to list all TickTick projects/lists,' which directly tells when to use it. While it does not explicitly state when not to use it or name alternatives, the context is clear enough for this simple list operation.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
ticktick_get_taskA
Use this to get a single task with full details. Required: projectId and taskId.
| Name | Required | Description | Default |
|---|---|---|---|
| projectId | Yes | Project/list ID the task belongs to | |
| taskId | Yes | Task ID |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden but only states purpose. It does not disclose behavioral traits such as read-only nature, auth requirements, error responses, or any side effects. A read operation is implied but not confirmed.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise with one clear sentence and a brief note on required parameters. Every word earns its place; no redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simplicity (2 params, no output schema), the description adequately covers purpose and required inputs. It lacks information on return format or error cases, but for a basic retrieval tool this is sufficient.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with both parameters described. The description only restates that projectId and taskId are required, adding no semantic value beyond what the schema already provides. Baseline 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool gets a single task with full details. The verb 'get' and resource 'single task' are specific, and it distinguishes from sibling tools like ticktick_get_tasks (plural) and ticktick_get_projects.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Description provides context for when to use (get a single task with IDs) but does not explicitly exclude alternatives like ticktick_get_tasks when needing multiple tasks, nor mention any preconditions or limitations.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
ticktick_get_tasksA
Use this to list tasks with optional filters. Fetches all tasks from a project (or all projects) and filters client-side. Optional: projectId, tag, dueBefore, dueAfter (YYYY-MM-DD strings), includeCompleted (default false).
| Name | Required | Description | Default |
|---|---|---|---|
| projectId | No | Filter by project/list ID. Omit to search all projects | |
| tag | No | Filter by tag (e.g. "@computer") | |
| dueBefore | No | Filter tasks due before this date (YYYY-MM-DD) | |
| dueAfter | No | Filter tasks due after this date (YYYY-MM-DD) | |
| includeCompleted | No | Include completed tasks (default: false) |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden. It discloses the key behavior: 'Fetches all tasks from a project (or all projects) and filters client-side', which is important for performance expectations. It does not mention auth or rate limits, but for a read-only list, this is sufficient.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence that front-loads the purpose, then lists parameters optionally. Every word earns its place; no fluff or redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
No output schema is provided, so the description should inform about return values. It fails to mention what fields the returned tasks contain or any pagination/limit, leaving the agent to infer. For a list tool, this is a notable gap.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, so baseline is 3. The description repeats parameter names and adds default for includeCompleted and date format, but these are already in the schema descriptions. It adds marginal value beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states 'list tasks with optional filters', using a specific verb and resource. It distinguishes itself from sibling tools like ticktick_get_task (singular) and ticktick_create_task, making its purpose unambiguous.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explicitly says 'Use this to list tasks with optional filters', which is direct. It doesn't specify when not to use or provide alternatives, but the sibling tools are all different actions (create, complete, move, etc.), so usage context is clear.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
ticktick_move_taskA
Use this to move a task from one project/list to another. This creates the task in the target project and completes it in the source. Required: sourceProjectId, taskId, targetProjectId.
| Name | Required | Description | Default |
|---|---|---|---|
| sourceProjectId | Yes | Current project/list ID | |
| taskId | Yes | Task ID to move | |
| targetProjectId | Yes | Destination project/list ID |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It discloses a key behavioral trait: the task is created in the target and completed in the source, not deleted. However, it omits details like permissions, reversibility, or error handling.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two sentences long, front-loading the purpose and behavioral detail. Every sentence adds value: first states what it does, second adds behavioral nuance and lists required parameters. No redundant words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with no output schema and moderate complexity (3 parameters), the description explains the core behavior and lists required parameters. It covers the essential 'what happens' (create + complete) but lacks examples or edge-case handling. It is sufficient for most use cases but not exhaustive.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, so baseline is 3. The description mentions required parameters but adds only minimal extra meaning beyond the schema descriptions (e.g., 'Required: sourceProjectId, taskId, targetProjectId'). It does not explain parameter values or constraints.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('move a task') and the resource ('from one project/list to another'). It distinguishes itself from sibling tools like ticktick_create_task (creates new) and ticktick_complete_task (completes) by specifying a move operation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description lists required parameters but does not provide explicit guidance on when to use this tool versus alternatives. It implies usage by stating the purpose, but lacks 'when not to use' or comparisons with siblings.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
ticktick_update_taskA
Use this to modify an existing task. Required: taskId. Optional: title, content, tags, priority, dueDate, startDate, repeatFlag. Only provided fields are updated.
| Name | Required | Description | Default |
|---|---|---|---|
| taskId | Yes | Task ID to update | |
| title | No | New title | |
| content | No | New description/notes | |
| tags | No | Replace tags with this array | |
| priority | No | Priority: 0=none, 1=low, 3=medium, 5=high | |
| dueDate | No | Due date (ISO 8601) or null to clear | |
| startDate | No | Start date (ISO 8601) or null to clear | |
| repeatFlag | No | iCalendar RRULE string for recurring tasks (e.g., 'RRULE:FREQ=MONTHLY;INTERVAL=1') |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Discloses partial update behavior ('Only provided fields are updated'), which is useful beyond schema. No annotations provided, so description carries full burden; missing details on side effects, auth, or errors.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences, no wasted words. First sentence states purpose, second lists requirements and behavior. Front-loaded and efficient.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given simple mutation with 8 params and no output schema, description is adequate but lacks info on return value or error cases. No annotations to supplement.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with detailed parameter descriptions. The description lists optional fields but adds no new meaning beyond what schema already provides.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Description clearly states 'modify an existing task' with verb and resource. It lists required and optional fields, but does not explicitly differentiate from siblings like ticktick_create_task or ticktick_complete_task, though the purpose is distinct enough.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Gives clear context: requires taskId and that only provided fields are updated. But no explicit when-not-to-use or alternatives; siblings are available but not mentioned.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
8 tool updates
v0.1.0- First observed
ticktick_complete_task - First observed
ticktick_create_project - First observed
ticktick_create_task - First observed
ticktick_get_projects - First observed
ticktick_get_task - First observed
ticktick_get_tasks - First observed
ticktick_move_task - First observed
ticktick_update_task
TDQS
Scored across 8 tools
Each tool has a clearly distinct purpose: creating, reading, updating, completing, and moving tasks and projects. No overlap in functionality.
All tools follow a consistent 'ticktick_verb_noun' pattern (e.g., create_task, get_tasks, complete_task), making it predictable for agents.
With 8 tools, the set is well-scoped for a task management API, covering core operations without unnecessary complexity.
The set covers create, read, and update for tasks and projects, but missing explicit delete operations (no delete_task or delete_project), which may cause agent failures when cleanup is needed.
Maintenance
Related MCP Connectors
A comprehensive Model Context Protocol (MCP) server that enables AI assistants to interact with yo…
- mcpOAuthnet.todoist
Official Todoist MCP server for AI assistants to manage tasks, projects, and workflows.
Nifty's MCP server — exposes tasks, projects, messages, and files as tools for AI agents.
Model Context Protocol server for the Apideck Unified API. Connect any MCP-compatible agent framework to 100+ accounting systems, HRIS platforms, file storage providers, and more through one integration. More information https://www.apideck.com/mcp-server
Related MCP Servers
- AlicenseAqualityDmaintenanceA Model Context Protocol server that integrates with TickTick task management service, allowing AI assistants to list, create, update, and complete tasks with proper timezone handling.95MIT
- AlicenseAqualityFmaintenanceA Model Context Protocol server that enables AI assistants to interact with TickTick/Dida365 task management API, supporting operations like creating, reading, updating, and deleting tasks and projects.1113 npm35MIT
- AlicenseNot gradedqualityCmaintenanceAn MCP server that connects AI assistants to TickTick, enabling project and task management through natural language, including reading projects, finding tasks, creating tasks, and completing work.2MIT
- AlicenseNot gradedqualityDmaintenanceMCP server for integrating TickTick task management with AI applications, enabling task and project operations via natural language.5 npmMIT