Allows interaction with Todoist's API, supporting all endpoints available in the Todoist TypeScript Client to manage tasks, projects, and other Todoist resources.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Todoist MCP add 'Buy groceries' to my tasks"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Connect this Model Context Protocol server to your LLM to interact with Todoist.
It supports all the APIs available from the Todoist TypeScript Client.
Build the server app:
npm install
npm run buildConfigure Claude:
You must install the Claude desktop app which supports MCP.
You can get your Todoist API key from Todoist > Settings > Integrations > Developer.
Then, in your claude_desktop_config.json, add a new MCP server:
{
"mcpServers": {
"todoist-mcp": {
"command": "node",
"args": ["/path/to/repo/build/index.js"],
"env": {
"TODOIST_API_KEY": "your_todoist_api_key"
}
}
}
}You can now launch Claude desktop app and ask to update Todoist.
Install Todoist MCP on Claude Desktop using Smithery:
npx -y @smithery/cli install @miottid/todoist-mcp --client claudeRecent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
No tool schema history has been recorded yet.
This server cannot be installed
Unclaimed servers have limited discoverability.
If you are the server author, to access and configure the admin panel.
Official Todoist MCP server for AI assistants to manage tasks, projects, and workflows.
Manage Superlist tasks and lists in plain language from any MCP-compatible AI agent.
AI-native task management: list, create, update and archive tasks with rich context for AI agents
Manage tasks, Focus Zone, notes, projects, and task history from compatible AI assistants.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/Scofieldkoh/todoist_mcp'
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