Conversational-Task-Orchestrator-for-Todoist
A robust Model Context Protocol (MCP) bridge designed to empower AI agents, such as Claude, to fluidly manage complex task structures within Todoist using spoken or written natural language instructions. This system handles all core Todoist operations including task lifecycle management, project hierarchy structuring, annotation addition, and label administration via a streamlined conversational interface.
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stanislavlysenko0912
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Todoist Conversational Orchestrator Interface
This Model Context Protocol (MCP) service layer facilitates deep integration between generative AI assistants (like Claude) and the Todoist platform, translating unstructured dialogue into precise task control commands.
Core Capabilities
- Comprehensive API Mapping: Full coverage of the Todoist REST API (v2 specification), augmented by natural language interpretation for the Todoist Sync API.
- Transactional Efficiency: Supports batch processing, allowing the client to execute multiple modifications within a single interaction cycle.
- Semantic Retrieval: Enables AI inference to locate tasks, organizational containers (projects), and classification markers (labels) based on descriptive names rather than requiring strict identifier lookups.
- Task Lifecycle Control: Manage creation, modification, archival (closure), reactivation, relocation, and total erasure of actionable items through dialogue.
- Project Hierarchy Management: Instantiate and govern project structures and internal sectional divisions.
- Annotation Services: Facilitate the attachment and curation of notes/comments against both tasks and principal projects.
- Classification System: Support for defining and manipulating personal and shared organizational tags (labels).
- Contextual Augmentation: Offers straightforward mechanisms for injecting detailed project context into the AI's working memory.
Operational Setup
Operation mandates a valid authorization credential obtained from the Todoist environment.
Acquiring the Todoist Authorization Key
- Access your primary Todoist account interface.
- Navigate to Configuration menus, specifically the Integrations section.
- Locate and securely copy the API Access Token provided under the Developer section.
Integration Configuration (Claude Desktop Example)
Incorporate the following stanza into your claude_desktop_config.json manifest:
{
"mcpServers": {
"todoist_connector": {
"command": "npx",
"args": ["-y", "todoist-mcp"],
"env": {
"API_KEY": "INSERT_YOUR_SECURE_TODOIST_TOKEN_HERE"
}
}
}
}
Exposed Toolset
Action Items (Tasks)
get_tasks_list: Retrieve task rosters, supporting complex filtering by associated project, section, tag, etc.create_tasks: Generate new actionable items, defining all requisite parameters.get_tasks: Fetch details for specified items via ID or human-readable name.update_tasks: Modify attributes of extant action items.close_tasks: Archive tasks, marking them as finished.reopen_tasks: Restore previously completed items.delete_tasks: Permanently remove tasks from the system.move_tasks: Reassign an item to a different hierarchical location (project or section).
Organizational Containers (Projects)
get_projects_list: Enumerate all managed projects.create_projects: Establish new organizational containers.get_projects: Retrieve specific project metadata by identifier or title.update_projects: Revise project configuration details.delete_projects: Decommission projects.get_collaborators: List individuals associated with a given project.move_projects: Restructure projects within the hierarchy (e.g., nesting).
Sub-Containers (Sections)
get_sections_list: List sections, filterable by parent project context.create_sections: Define new subdivisions within projects.get_sections: Fetch section details by identifier or designation.update_sections: Modify section properties.delete_sections: Erase defined sections.
Task Annotations (Comments)
get_comments_list: Fetch existing notes linked to tasks or projects.create_comments: Append new textual annotations.get_comments: Retrieve specific annotation content by its identifier.update_comments: Revise posted annotations.delete_comments: Remove annotations.
Categorization Markers (Labels)
get_labels_list: List user-defined organizational labels.create_labels: Instantiate new personal labeling mechanisms.get_labels: Access label metadata by identifier or name.update_labels: Alter label attributes.delete_labels: Remove labels.get_shared_labels: Retrieve labels accessible across teams/users.rename_shared_labels: Modify the designation of shared labels.remove_shared_labels: Detach shared labels from current context or delete them if applicable.
Utility Functions
utils_get_colors: Retrieve the predefined palette utilized for visual coding of projects and labels.
Contextual Prompts
projects_list: Generates a formatted (Markdown) enumeration of all projects, including their subordinate sections and configuration parameters.
Illustrative Interaction Examples
Engage your chosen AI model (e.g., Claude) with queries such as:
"What pending activities are scheduled for execution today?"
"Schedule the quarterly financial review for completion by the end of next week."
"Establish a new management grouping titled 'Q3 Initiatives'."
"Insert a note into the task concerning the upcoming team meeting preparation."
"Display all items flagged with the highest urgency setting."
"Define a new categorization tag named 'Critical' and assign it the color crimson."
"Provide an inventory of all current top-level groupings in my Todoist account."
"Signal that the task related to the upcoming dental appointment has been successfully finished."
Development Lifecycle
# Install required packages
npm install
# Compile the source code and launch the inspector utility
npm run build && npx @modelcontextprotocol/inspector -e API_KEY=YOUR_RUNTIME_KEY node dist/index.js
Licensing Information
This software package is distributed under the terms of the MIT License. Refer to the LICENSE file for complete stipulations.
Support and Bug Reporting
Should operational discrepancies or required enhancements arise, please log an official report through the project's designated GitHub repository.
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