Todoist MCP

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), }, })

You can run the MCP server directly with npx:

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
- Open Settings → Connectors → Add custom connector
- Enterhttps://ai.todoist.net/mcpand complete OAuth authentication

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

If you'd rather configure the MCP server manually, run:

claude mcp add --transport http todoist https://ai.todoist.net/mcp

Then launchclaude, execute/mcp, and select thetodoistMCP server to authenticate.
- Open Command Palette → MCP: Add Server
- Select HTTP transport and use:

{ "servers": { "todoist": { "type": "http", "url": "https://ai.todoist.net/mcp" } } }

npx -y mcp-remote https://ai.todoist.net/mcp

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.

This project includes support forMCP Apps– interactive UI widgets rendered inline in AI chat interfaces. Widgets provide rich visual representations of tool outputs (e.g., task lists) instead of plain text.

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
- npm run tool:list- List available tools for direct execution
- npm run tool -- <tool-name> '<json-args>'- Run a tool directly without MCP

When usingnpm run tool, include--before tool arguments so npm forwards them toscripts/run-tool.ts.

Example check before write operations:npm run tool -- user-info '{}'This confirms which Todoist account the currentTODOIST_API_KEYis connected to.

run-toolusesTODOIST_API_KEYfrom your.envfile (created from.env.examplebynpm run setup). Use a test account or a temporary project when running write operations to avoid modifying real data.

- Development workflow
- Running tools directly withscripts/run-tool.ts
- Testing and quality checks
- Commit conventions

- feat:for new features (minor version bump)
- fix:for bug fixes (patch version bump)
- feat!:orfix!:for breaking changes (major version bump)
- docs:for documentation changes
- chore:for maintenance tasks
- ci:for CI changes

- Release-please automatically creates/updates a release PR
- The PR includes version bump and changelog updates
- Review the PR and merge when ready

- A new GitHub release is automatically created
- A new tag is created
- Thepublishworkflow is triggered
- The package is published to npm

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