Todoist
MCP ServerFree** - Full implementation of Todoist Rest API for MCP server
Capabilities9 decomposed
task-creation-via-mcp-protocol
Medium confidenceCreates tasks in Todoist by translating MCP protocol messages into REST API calls, handling task properties (title, description, due dates, priority, labels, project assignment) through a standardized message-passing interface. Implements bidirectional serialization between MCP's JSON-RPC format and Todoist's REST payload structure, enabling AI agents and tools to create tasks without direct API knowledge.
Implements full MCP server wrapping for Todoist REST API, allowing AI agents to manage tasks through standardized protocol rather than direct HTTP calls; handles authentication token management server-side so clients never expose credentials
Provides MCP-native task creation vs. requiring agents to make raw HTTP requests or use unofficial libraries, with built-in error handling and protocol compliance
task-retrieval-and-filtering
Medium confidenceRetrieves tasks from Todoist with support for filtering by project, label, priority, due date, and completion status through MCP method calls that translate to REST API queries. Implements query parameter construction to leverage Todoist's server-side filtering, returning structured task objects with full metadata for downstream processing by AI agents.
Exposes Todoist's native filtering capabilities through MCP interface, allowing agents to construct complex queries without learning REST API syntax; server-side filtering reduces payload size and processing overhead
More efficient than fetching all tasks and filtering client-side, and provides MCP-standardized interface vs. raw API calls
task-update-and-modification
Medium confidenceUpdates existing tasks in Todoist by accepting MCP method calls with task ID and modified fields (title, description, due date, priority, labels, project assignment), translating them into REST API PATCH/PUT requests. Implements field-level updates so agents can modify specific task properties without overwriting unspecified fields.
Provides granular field-level updates through MCP, allowing agents to modify specific task properties without requiring full task state knowledge; implements partial update semantics rather than full replacement
More flexible than full-replacement APIs and reduces context requirements for agents, with MCP protocol standardization vs. direct REST calls
task-completion-and-deletion
Medium confidenceMarks tasks as complete or permanently deletes them from Todoist through MCP method calls that invoke REST API endpoints for task state transitions. Implements idempotent operations so repeated completion calls don't cause errors, and provides explicit deletion with confirmation semantics for destructive operations.
Implements idempotent completion semantics through MCP, preventing errors from duplicate completion calls; separates completion (reversible state change) from deletion (permanent removal) as distinct operations
Safer than raw API calls with built-in idempotency, and provides MCP-standardized interface for task lifecycle management
project-and-section-management
Medium confidenceRetrieves and manages Todoist projects and sections through MCP, allowing agents to list projects, create new projects, and organize tasks into sections. Translates MCP method calls into REST API operations for project CRUD and section management, enabling hierarchical task organization through the protocol interface.
Exposes Todoist's project and section hierarchy through MCP, allowing agents to understand and manipulate task organization structure; implements project discovery so agents can find target projects without hardcoded IDs
Provides hierarchical task organization through MCP vs. flat task lists, with project discovery reducing configuration overhead
label-and-metadata-management
Medium confidenceManages task labels and metadata through MCP by providing methods to list available labels, create new labels, and assign/remove labels from tasks. Implements label discovery so agents understand available organizational tags, and supports label operations as part of task update workflows.
Provides label discovery and creation through MCP, enabling agents to understand and extend the label taxonomy; integrates label operations with task updates for atomic metadata changes
Allows dynamic label creation vs. static predefined labels, with MCP standardization for label management
mcp-protocol-authentication-and-session-management
Medium confidenceHandles Todoist API authentication by accepting an API token at MCP server initialization and managing session state server-side, so individual MCP clients never handle credentials directly. Implements token validation and error handling for authentication failures, translating Todoist API auth errors into MCP-compliant error responses.
Centralizes Todoist API authentication at the MCP server level, preventing credential exposure to individual clients; implements server-side token management with transparent error handling
More secure than distributing API tokens to clients, with centralized credential management vs. per-client authentication
error-handling-and-protocol-compliance
Medium confidenceImplements comprehensive error handling that translates Todoist REST API errors into MCP-compliant JSON-RPC error responses, including rate limiting, invalid parameters, and authentication failures. Maps HTTP status codes and Todoist error messages to standardized MCP error codes and descriptions, ensuring consistent error semantics across all capabilities.
Translates Todoist REST API errors into MCP-compliant error responses with consistent semantics; implements error categorization so clients can distinguish between retryable and permanent failures
Provides standardized error handling vs. raw API errors, enabling clients to implement consistent error recovery strategies
json-rpc-method-dispatch-and-routing
Medium confidenceImplements JSON-RPC 2.0 method dispatch that routes incoming MCP requests to appropriate Todoist API handlers based on method name. Uses a registry pattern to map method names (e.g., 'createTask', 'getTask') to handler functions, with parameter validation and type coercion before API calls.
Implements JSON-RPC 2.0 method dispatch with parameter validation, providing type-safe routing from MCP requests to Todoist API handlers; uses registry pattern for extensibility
Provides type-safe method dispatch vs. raw HTTP routing, with parameter validation reducing API errors
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
Related Artifactssharing capabilities
Artifacts that share capabilities with Todoist, ranked by overlap. Discovered automatically through the match graph.
@taazkareem/clickup-mcp-server
ClickUp MCP Server - Powering AI Agents with full ClickUp task, document, and chat management capabilities.
Taskeract
** - Official Taskeract MCP Server for integrating your [Taskeract](https://www.taskeract.com/) project tasks and load the context of your tasks into your MCP enabled app.
Dart
** - Interact with task, doc, and project data in [Dart](https://itsdart.com), an AI-native project management tool
Buildable
** - Official MCP server for Buildable AI-powered development platform. Enables AI assistants to manage tasks, track progress, get project context, and collaborate with humans on software projects.
Routine
** - MCP server to interact with [Routine](https://routine.co/): calendars, tasks, notes, etc.
Project Manager
** - Hierarchical task management (ideas → epics → tasks) with CLI dashboard
Best For
- ✓AI agents and LLM applications using MCP protocol
- ✓developers building multi-tool orchestration systems
- ✓teams automating task management workflows through Claude or other MCP-compatible clients
- ✓AI agents that need to understand current task state before making decisions
- ✓workflow automation systems that filter tasks for specific processing
- ✓task analysis and reporting tools built on top of MCP
- ✓AI agents that adjust task metadata based on context or user input
- ✓automation workflows that reprioritize or reschedule tasks
Known Limitations
- ⚠Requires valid Todoist API token with write permissions
- ⚠Task creation latency depends on Todoist API response time (typically 200-500ms)
- ⚠No local caching of created tasks — each creation requires a live API call
- ⚠Batch task creation not optimized — creates tasks sequentially rather than in parallel
- ⚠Filtering happens server-side via Todoist API — no local indexing for complex queries
- ⚠Pagination not explicitly handled — may return truncated results for accounts with thousands of tasks
Requirements
Input / Output
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** - Full implementation of Todoist Rest API for MCP server
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