Todoist MCP Server: Task Management Integration in AI Applications

Overview: What is Todoist MCP Server?

The Todoist MCP (Model Context Protocol) Server connects AI applications to the comprehensive task management capabilities of Todoist, enabling seamless interaction and leveraging AI for smart task automation and organization. This server supports a wide range of Todoist APIs through Model Context Protocol, facilitating the integration of these APIs with various AI clients.

🔧 Core Features & MCP Capabilities

Todoist MCP Server is designed to enhance AI workflows by providing a standardized interface that allows AI applications to perform operations on Todoist tasks and projects. It covers essential functionalities such as creating tasks, updating task details, marking tasks as completed or deleted, retrieving task lists, and more. The integration supports real-time updates, ensuring that the AI application stays in sync with the latest changes made through the server.

⚙️ MCP Architecture & Protocol Implementation

The architecture of Todoist MCP Server is built to align with Model Context Protocol standards, facilitating seamless communication between the server and various AI clients like Claude Desktop. The protocol flow ensures efficient data transfer and processing, enabling real-time interaction between AI applications and Todoist's rich features.

Mermaid Diagram: MCP Protocol Flow

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

Mermaid Diagram: Data Architecture

graph TD
    subgraph AI Application
        B[Data Request]
        C[MCP Client] 
        B -->|Request| C
    end

    D[MCP Protocol]
    C --> D [Communication]

    subgraph MCP Server
        E[Receive Request]
        F[Process Request]
        G[Return Data]
        E -->|Parse| F
        F --> G [Response]
    end
    
    H[Data Source/Tool]
    D -->|Return| H

🚀 Getting Started with Installation

To set up Todoist MCP Server, follow these steps:

Build the server app:
```
npm install
npm run build
```
Configure Claude Desktop App for Todoist Integration:
Ensure you have installed the Claude desktop app. You can obtain your Todoist API key from:
- Todoist → Settings → Integrations → Developer.

Add a new MCP server in Claude Desktop Config:

{
    "mcpServers": {
        "todoist-mcp": {
            "command": "node",
            "args": ["/path/to/repo/build/index.js"],
            "env": {
                "TODOIST_API_KEY": "your_todoist_api_key"
            }
        }
    }
}

Launch Claude Desktop App and Update Todoist: Open the Claude desktop app, and use it to update or interact with your Todoist tasks.

💡 Key Use Cases in AI Workflows

Scenario 1: Smart Task Creation

AI applications can use the MCP server to create new tasks based on user prompts. For example, an AI assistant could recognize a conversation about starting a project and automatically create a task titled "Start [Project Name]". The server would facilitate this by sending a request through the Model Context Protocol.

Scenario 2: Automated Task Updates

The server can also be used to update tasks based on real-time actions or events. For instance, if an AI application detects that a user has completed a task during a meeting, it can use the server to mark the task as done in Todoist, ensuring both local and remote updates are kept in sync.

🔌 Integration with MCP Clients

Todoist MCP Server is compatible with several key Model Context Protocol clients:

Claude Desktop: Full support for all functionalities.
Continue: Supports data access but not all prompt capabilities.
Cursor: Only supports data sources, no full AI application integration.

Mermaid Table: MCP Client Compatibility Matrix

| MCP Client          | Resources Support | Tools & Data Access | Prompts Support            | Status       |
|---------------------|-------------------|--------------------|----------------------------|--------------|
| Claude             | ✅                 | ✅                  | ✅                         | Full Support |
| Continue           | ✅                 | ✅                  | ✅                         | Full Support |
| Cursor             | ❌                 | ✅                  | ❌                         | Tools Only   |

📊 Performance & Compatibility Matrix

Todoist MCP Server ensures optimal performance and compatibility with Todoist APIs, maintaining real-time synchronization across all supported clients. This integration enhances the efficiency of AI applications by providing a robust and reliable interface for accessing Todoist services.

🛠️ Advanced Configuration & Security

For advanced configurations, ensure that the environment variables are correctly set to match your specific Todoist API key. The server runs on Node.js, allowing flexibility in deployment environments.

❓ Frequently Asked Questions (FAQ)

Q: How do I get my Todoist API Key? A: Log into your Todoist account, go to Settings > Integrations > Developer, and obtain the API key from there.
Q: Can this server work with other AI applications apart from Claude Desktop? A: Yes, it is compatible with Continue and Cursor for basic data interactions. Full support for prompts and advanced functionalities depends on individual client compatibility.
Q: Is there a limit to the number of tasks or projects I can manage through this integration? A: The limitations depend on your Todoist plan but generally do not affect standard MCP server usage for most users.
Q: How often does Todoist update its APIs, and will changes impact this server? A: Todoist regularly updates their API to offer new features and improvements. However, the Model Context Protocol ensures compatibility, minimizing disruptions due to these updates.
Q: Can I customize the MCP configurations or run multiple servers simultaneously? A: Yes, you can configure different servers for various projects with unique API keys and deployment settings.

👨‍💻 Development & Contribution Guidelines

To contribute to Todoist MCP Server, familiarize yourself with Model Context Protocol standards and the Todoist TypeScript Client. For development guidelines, review the official documentation and feel free to submit issues or pull requests on GitHub.

🌐 MCP Ecosystem & Resources

Explore the broader MCP ecosystem for more integrations and resources at:

By integrating Todoist MCP Server into your AI workflows, you can leverage the power of both Model Context Protocol and Todoist to streamline task management and enhance productivity.

Todoist MCP Server