🌟 VistaTool: Todoist Synchronization Module for Cursor

This document details the Model Context Protocol (MCP) server designed to bridge Cursor AI's capabilities with your personal Todoist task repository. It empowers AI assistants to interact with project management artifacts directly inside the IDE.

Demonstration

Core Functionality

• Granular Task Sourcing: Leverage Todoist's comprehensive filter syntax for precise data acquisition.
  • Time-bound retrieval: today, tomorrow, overdue
  • Hierarchical importance filtering (levels P1 through P4)
  • Composition of intricate logical search expressions
• Enhanced Visual Presentation: Tasks are rendered with distinct markers for urgency, deadline, and other metadata.
• Native Cursor Environment Use: Operational synchronization between Todoist and the Cursor AI coding session.

Deployment Guide

Smithery Automated Install

Install this handler automatically via the Smithery ecosystem for Claude Desktop environments:

bash npx -y @smithery/cli install @mingolladaniele/taskMaster-todoist-mcp --client claude

Prerequisites Checklist

• Runtime Environment: Python version 3.10 or newer required.
• Dependency Manager: Poetry must be installed.
• Authentication: Valid Todoist account credentials and a generated API access key.

Initial Configuration Steps

1. Clone the source repository: bash git clone https://github.com/mingolladaniele/todoist-mcp.git cd todoist-mcp

2. Install required libraries: bash pip install -r requirements.txt

3. Expose the authorization credential via a system variable: bash

Unix-like systems (Linux/macOS)

export TODOIST_API_TOKEN="your-secret-token"

Windows (Command Prompt)

set TODOIST_API_TOKEN="your-secret-token"

Your Todoist API secret is discoverable under Settings -> Integrations -> Developer section within the Todoist application.

Operational Usage

Initiating the Service

Execute the main application script: bash python server.py

MCP Interface Definition

The service exposes a singular primary interaction point:

retrieve_work_items

Fetches task items leveraging advanced filtering logic.

Arguments Supplied: - query_string: A sophisticated string conforming to Todoist's filter syntax for complex queries. - urgency_level: An optional numerical indicator (1-4, where 1 signifies peak importance).

Illustrative Query Strings: - "today" - Tasks scheduled for the present day. - "overdue" - Items past their deadline. - "Mar 15" - Target date of March 15th. - "due before: 2024-06-01" - Items due prior to the first of June. - "due after: 2024-05-01" - Items due subsequent to the first of May. - "due before: +12 hours" - Tasks due within the next half-day, plus any overdue ones. - "no date" - Items lacking a specified completion date. - "next 7 days" - Items due within the upcoming week. - "recurring" - Items set to repeat.

Configuring Cursor AI Access

To enable Cursor AI to utilize this server, modify or create the configuration file at the following location:

Windows Location: C:\Users\<UserAccount>\.cursor\mcp.json

{ "mcpServers": { "todoist-connector": { "command": "C:/path/to/todoist-mcp/.venv/bin/python", "args": [ "C:/path/to/todoist-mcp/server.py" ], "env": { "TODOIST_API_TOKEN": "" } } } }

Ensure you substitute <UserAccount> and the file paths with your actual system details. After configuration, navigate to Cursor Settings -> MCP to verify the server connection status (indicated by a green status light).

Structural Organization

Codebase modules are distributed as follows:

• data_layer/: Encapsulates the Todoist API interaction logic.
• settings/: Handles initialization parameters and configuration variables.
• helpers/: Contains support functions, notably for task data serialization.

Future Development Pipeline

Upcoming enhancements planned for subsequent iterations:

• Task Provisioning: Functionality to inject novel tasks into Todoist via Cursor AI.
• Closure Mechanism: Interface for marking items as finished without leaving the editor context.
• Item Archiving: Capability to purge obsolete records.
• Intelligent Prioritization: AI-driven task reshuffling based on:
  • Project precedence
  • Allocated time slots
  • Deadlines
  • Current task load assessment
• Organizational Unit Support: Tools for managing Todoist Projects.
• Tagging & Saved Views: Support for custom metadata tags and access to saved filter sets.

Governing License

Open Source under the MIT License.

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