About Task Planner MCP Server
Task Planner MCP Server lets AI assistants organize complex work as hierarchical tasks, track completion, and manage priorities. Its tools support creating, updating, listing, and breaking down tasks.
Key features
- 01Create, update, and delete tasks
- 02Break tasks into subtasks
- 03Track task completion
- 04View task details and lists
- 05Set low, medium, or high priority
Use cases
- 01Break a large project into steps
- 02Track pending work and completion
- 03Organize subtasks by priority
MCP support
Exposes task management tools to MCP clients, including task creation, listing, retrieval, updates, completion, deletion, and breakdown. Task data is stored in a local `tasks.json` file.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMETask Planner MCP Server
An MCP (Model Context Protocol) server that helps AI assistants (like Claude) break down complex tasks into manageable steps, track progress, and manage a hierarchical task list.
Features
- Create, update, and delete tasks
- Break down complex tasks into multiple subtasks
- Mark tasks as complete
- View detailed task information
- List all tasks or subtasks of a specific task
- Set task priorities (low, medium, high)
Installation
# Clone the repository
git clone https://github.com/yourusername/task-planner-mcp.git
cd task-planner-mcp
# Install dependencies
pnpm install
# Build the project
pnpm run build
Usage
Running the server
pnpm start
Claude Desktop Configuration
To use this MCP server with Claude Desktop, add the following to your claude_desktop_config.json file:
{
"mcpServers": {
"task-planner": {
"command": "node",
"args": ["/absolute/path/to/task-planner-mcp/dist/index.js"]
}
}
}
Replace /absolute/path/to/task-planner-mcp with the absolute path to your task planner directory.
Available Tools
The Task Planner MCP Server provides the following tools:
create-task
Create a new task or subtask.
Parameters:
title: Title of the taskdescription(optional): Detailed description of the taskparentId(optional): ID of the parent task if this is a subtaskpriority(optional): Priority level of the task (low, medium, high)
list-tasks
List all tasks or subtasks.
Parameters:
parentId(optional): ID of the parent task to list subtasks for
get-task
Get detailed information about a task.
Parameters:
id: ID of the task to retrieve
complete-task
Mark a task as completed.
Parameters:
id: ID of the task to complete
update-task
Update a task's details.
Parameters:
id: ID of the task to updatetitle(optional): New title for the taskdescription(optional): New description for the taskpriority(optional): New priority level for the task (low, medium, high)
delete-task
Delete a task and its subtasks.
Parameters:
id: ID of the task to delete
break-down-task
Break down a complex task into multiple subtasks.
Parameters:
parentId: ID of the parent task to break downsubtasks: Array of subtask objects, each with:title: Title of the subtaskdescription(optional): Description of the subtaskpriority(optional): Priority of the subtask (low, medium, high)
Examples
Here are some examples of how to use the Task Planner with Claude:
- "Create a new task called 'Plan my vacation'"
- "Break down my vacation planning task into smaller steps"
- "What tasks do I have pending?"
- "Show me the details of my vacation planning task"
- "Mark the flight booking subtask as complete"
- "Delete the task about grocery shopping"
Data Storage
Task data is stored in a local JSON file (tasks.json) in the root directory of the project.
License
ISC
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.