Doist

Todoist AI SDK

Community Doist
Updated

A set of tools to connect to AI agents, to allow them to use Todoist on a user's behalf.

Todoist AI SDK

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 tointegrate them to your own AI conversational interfaces.

Using tools

1. Add this repository as a dependency

npm install @doist/todoist-ai

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-ai";
import { streamText } from "ai";

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

Using as an MCP server

You can run the MCP server directly with npx:

npx @doist/todoist-ai

For more details on setting up and using the MCP server, including creating custom servers, see docs/mcp-server.md.

Features

A key feature of this project is that tools can be reused, and are not written specifically for use in an MCP server. They can be hooked up as tools to other conversational AI interfaces (e.g. Vercel's AI SDK).

This project is in its early stages. Expect more and/or better tools soon.

Nevertheless, our goal is to provide a small set of tools that enable complete workflows, rather than just atomic actions, striking a balance between flexibility and efficiency for LLMs.

For our design philosophy, guidelines, and development patterns, see docs/tool-design.md.

Available Tools

For a complete list of available tools, see the src/tools directory.

Dependencies

MCP Server Setup

See docs/mcp-server.md for full instructions on setting up the MCP server.

Local Development Setup

See docs/dev-setup.md for full instructions on setting up this repository locally for development and contributing.

Quick Start

After cloning and setting up the repository:

  • npm start - Build and run the MCP inspector for testing
  • npm run dev - Development mode with auto-rebuild and restart

Releasing

This project uses release-please to automate version management and package publishing.

How it works

  1. Make your changes using Conventional Commits:

    • feat: for new features (minor version bump)
    • fix: for bug fixes (patch version bump)
    • feat!: or fix!: for breaking changes (major version bump)
    • docs: for documentation changes
    • chore: for maintenance tasks
    • ci: for CI changes
  2. When commits are pushed to main:

    • Release-please automatically creates/updates a release PR
    • The PR includes version bump and changelog updates
    • Review the PR and merge when ready
  3. After merging the release PR:

    • A new GitHub release is automatically created
    • A new tag is created
    • The publish workflow is triggered
    • The package is published to npm

MCP Server ยท Populars

MCP Server ยท New

    QuantConnect

    QuantConnect MCP Server

    Python MCP server for local interactions with the QuantConnect API

    Community QuantConnect
    eLyiN

    Gemini Bridge

    A lightweight MCP server bridging AI agents to Google's Gemini AI via official CLI

    Community eLyiN
    benjaminr

    Chrome DevTools MCP

    An MCP Server for Chrome DevTools, following the Chrome DevTools Protocol. Integrates with Claude Desktop and Claude Code.

    Community benjaminr
    Doist

    Todoist AI SDK

    A set of tools to connect to AI agents, to allow them to use Todoist on a user's behalf.

    Community Doist
    pi22by7

    In Memoria

    Persistent Intelligence Infrastructure for AI Agents

    Community pi22by7