TodoistSAFE

Library for connecting AI agents to Todoist. Includes tools that can be integrated into LLMs, enabling them to access and modify a Todoist account on the user's behalf.

These tools can be used both through an MCP server, or imported directly in other projects to integrate them to your own AI conversational interfaces.

Using tools

1. Add this repository as a dependency

npm install @doist/todoist-mcp

2. Import the tools and plug them to an AI

Here's an example using Vercel's AI SDK.

import { findTasksByDate, addTasks } from '@doist/todoist-mcp'
import { TodoistApi } from '@doist/todoist-sdk'
import { streamText } from 'ai'

// Create Todoist API client
const client = new TodoistApi(process.env.TODOIST_API_KEY)

// Helper to wrap tools with the client
function wrapTool(tool, todoistClient) {
return {
...tool,
execute(args) {
return tool.execute(args, todoistClient)
},
}
}

const result = streamText({
model: yourModel,
system: 'You are a helpful Todoist assistant',
tools: {
findTasksByDate: wrapTool(findTasksByDate, client),
addTasks: wrapTool(addTasks, client),
},
})

Using as an MCP server

Quick Start

You can run the MCP server directly with npx:

npx @doist/todoist-mcp

Setup Guide

The Todoist MCP server is available as a streamable HTTP service for easy integration with various AI clients:

Primary URL (Streamable HTTP): https://ai.todoist.net/mcp

Claude Desktop

1. Open Settings → Connectors → Add custom connector
2. Enter https://ai.todoist.net/mcp and complete OAuth authentication

Cursor

Create a configuration file:

• Global: ~/.cursor/mcp.json
• Project-specific: .cursor/mcp.json

{
"mcpServers": {
"todoist": {
"command": "npx",
"args": ["-y", "mcp-remote", "htt