Blinkly
Integrate Claude with Todoist for natural language task management, search, update, complete, and delete tasks easily
The Todoist MCP Server is an essential component that enables AI applications like Claude to integrate seamlessly with Todoist through the Model Context Protocol (MCP). This server allows Claude to perform various task management operations using natural language, enhancing user experience and productivity. By adhering to a standardized protocol, the Todoist MCP Server ensures compatibility across different AI tools and platforms, making it a versatile solution for any development ecosystem.
The Todoist MCP Server is designed to integrate with various AI applications via MCP. It provides a wide range of functionalities, including creating, updating, retrieving, and deleting tasks using natural language commands. Some key features include:
Tasks can be created, updated, completed, and deleted through friendly, conversational language that matches everyday usage.
Users can find tasks based on partial name matches, leading to a more intuitive task management experience.
Tasks can be filtered by due date, priority, project, and other attributes, offering flexibility in how tasks are managed.
Detailed descriptions, due dates, and priority levels support comprehensive task tracking.
Clear error feedback enhances the user experience and ensures that issues are easily resolved.
The Todoist MCP Server leverages the Model Context Protocol to provide a standardized interface for interacting with the Todoist API. The architecture is built around this protocol, ensuring seamless communication between AI applications and the Todoist data source.
graph TD
A[AI Application] -->|MCP Client| B[MCP Protocol]
B --> C[MCP Server]
C --> D[Data Source/Tool]
style A fill:#e1f5fe
style C fill:#f3e5f5
style D fill:#e8f5e8
This diagram illustrates the flow of communication where AI applications use MCP Clients to interact with a universal protocol stack. The MCP Server acts as an intermediary, handling the integration logic and ensuring that commands are processed correctly.
The server adheres to a structured data model for handling tasks, descriptions, due dates, priorities, and other attributes. This ensures consistency and reliability in task management operations.
To get started with the Todoist MCP Server, follow these steps:
npm install -g @abhiz123/todoist-mcp-server
This global installation will enable you to use the server on your machine, ready for integration into your development environment.
The Todoist MCP Server offers several key benefits and use cases that enhance AI workflow experiences:
Imagine a busy developer using Claude Desktop to manage their daily tasks. By integrating the Todoist MCP Server, they can create, update, and complete tasks with natural language commands directly from the desktop application.
Technical Implementation:
{
"mcpServers": {
"todoist": {
"command": "npx",
"args": ["-y", "@abhiz123/todoist-mcp-server"],
"env": {
"TODOIST_API_TOKEN": "your_api_token_here"
}
}
}
}
For teams using the AI platform continue, integrating the Todoist MCP Server ensures that task updates are automatically synchronized and reflected in their daily workflow.
Technical Implementation:
{
"mcpServers": {
"todoist": {
"command": "npx",
"args": ["-y", "@abhiz123/todoist-mcp-server"],
"env": {
"TODOIST_API_TOKEN": "your_api_token_here"
}
}
}
}
The Todoist MCP Server is designed to be compatible with various AI clients, including:
However, while full compatibility exists for Claude Desktop and Continue, the server currently integrates only as a tool resource for Cursor.
| MCP Client | Resources | Tools | Prompts |
|---|---|---|---|
| Claude Desktop | ✅ | ✅ | ✅ |
| Continue | ✅ | ✅ | ✅ |
| Cursor | ❌ | ✅ | ❌ |
The Todoist MCP Server ensures robust performance and compatibility across different systems and AI applications:
For advanced configurability, the server can be set up as follows:
Clone the repository:
git clone https://github.com/abhiz123/todoist-mcp-server.git
Navigate to the directory and install dependencies:
cd todoist-mcp-server
npm install
Build the project:
npm run build
Ensure environment variables are set securely, particularly for API keys:
{
"mcpServers": {
"todoist": {
"command": "npx",
"args": ["-y", "@abhiz123/todoist-mcp-server"],
"env": {
"TODOIST_API_TOKEN": "your_api_token_here"
}
}
}
}
The server uses natural language commands to create tasks, ensuring that users can add new items through conversational interaction.
Yes, users can provide detailed descriptions when creating or updating tasks via the platform.
Error messages are provided to clarify any issues and guide users toward resolving them effectively.
Currently, only full compatibility is supported for Claude Desktop and Continue, while Cursor integrates as a tool resource.
Advanced users can build the project from source and customize environment variables to meet specific needs.
Contributions are welcome! If you'd like to contribute to this project, feel free to submit a pull request. Ensure that your code adheres to the existing coding standards and tests all features comprehensively.
Explore the broader MCP ecosystem with resources and documentation for developers building AI applications and integrating with various tools via MCP:
By leveraging the Todoist MCP Server, developers can create seamless and efficient integration experiences for a wide range of AI applications.
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