todoist-mcp-server
MCP server for Todoist integration enabling natural language task management with Claude JavaScript-based implementation.
Documentation
Todoist MCP Server
An MCP (Model Context Protocol) server implementation that integrates Claude with Todoist, enabling natural language task management. This server allows Claude to interact with your Todoist tasks using everyday language.
Features
- Natural Language Task Management: Create, update, complete, and delete tasks using everyday language
- Smart Task Search: Find tasks using partial name matches
- Flexible Filtering: Filter tasks by due date, priority, and other attributes
- Rich Task Details: Support for descriptions, due dates, and priority levels
- Intuitive Error Handling: Clear feedback for better user experience
Installation
Installing via Smithery
To install Todoist MCP Server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @abhiz123/todoist-mcp-server --client claudeManual Installation
npm install -g @abhiz123/todoist-mcp-serverTools
todoist_create_task
Create new tasks with various attributes:
- Required: content (task title)
- Optional: description, due date, priority level (1-4)
- Example: "Create task 'Team Meeting' with description 'Weekly sync' due tomorrow"
todoist_get_tasks
Retrieve and filter tasks:
- Filter by due date, priority, or project
- Natural language date filtering
- Optional result limit
- Example: "Show high priority tasks due this week"
todoist_update_task
Update existing tasks using natural language search:
- Find tasks by partial name match
- Update any task attribute (content, description, due date, priority)
- Example: "Update meeting task to be due next Monday"
todoist_complete_task
Mark tasks as complete using natural language search:
- Find tasks by partial name match
- Confirm completion status
- Example: "Mark the documentation task as complete"
todoist_delete_task
Remove tasks using natural language search:
- Find and delete tasks by name
- Confirmation messages
- Example: "Delete the PR review task"
Setup
Getting a Todoist API Token
1. Log in to your Todoist account
2. Navigate to Settings → Integrations
3. Find your API token under "Developer"
Usage with Claude Desktop
Add to your `claude_desktop_config.json`:
{
"mcpServers": {
"todoist": {
"command": "npx",
"args": ["-y", "@abhiz123/todoist-mcp-server"],
"env": {
"TODOIST_API_TOKEN": "your_api_token_here"
}
}
}
}Example Usage
Creating Tasks
"Create task 'Team Meeting'"
"Add task 'Review PR' due tomorrow at 2pm"
"Create high priority task 'Fix bug' with description 'Critical performance issue'"Getting Tasks
"Show all my tasks"
"List tasks due today"
"Get high priority tasks"
"Show tasks due this week"Updating Tasks
"Update documentation task to be due next week"
"Change priority of bug fix task to urgent"
"Add description to team meeting task"Completing Tasks
"Mark the PR review task as complete"
"Complete the documentation task"Deleting Tasks
"Delete the PR review task"
"Remove meeting prep task"Development
Building from source
# Clone the repository
git clone https://github.com/abhiz123/todoist-mcp-server.git
# Navigate to directory
cd todoist-mcp-server
# Install dependencies
npm install
# Build the project
npm run buildContributing
Contributions are welcome! Feel free to submit a Pull Request.
License
This project is licensed under the MIT License - see the LICENSE file for details.
Issues and Support
If you encounter any issues or need support, please file an issue on the GitHub repository.
Frequently asked questions
What is todoist-mcp-server?
todoist-mcp-server is MCP server for Todoist integration enabling natural language task management with Claude JavaScript-based implementation.
How do I install todoist-mcp-server?
Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.
Is todoist-mcp-server open source?
Yes — it is hosted on GitHub at https://github.com/abhiz123/todoist-mcp-server and has 323 stars.
Related MCP tools
Shrimp Task Manager is a task tool built for AI Agents, emphasizing chain-of-thought, reflection, and style consistency.
A Model-Context Protocol Server for YouTube for the Model Context Protocol. Enhance AI assistants with powerful integrations. JavaScript-based implementation.
Adb-mcp is a proof of concept project to enabled AI control of Adobe tools (Adobe Photoshop and Adobe Premiere) by providing an interface to LLMs via the MCP...
This is an MCP server that allows you to directly download transcripts of YouTube videos. JavaScript-based implementation.
A server that integrates Linear's project management system with the Model Context Protocol (MCP) to allow LLMs to interact with Linear.
This sample app uses the Vercel MCP Adapter that allows you to drop in an MCP server on a group of routes in any Next.js project.
Run your own MCP server? See who uses it and what to fix.
Measure it with TrackMCP