About Superlist
Superlist's MCP server connects tasks and lists to MCP-compatible AI assistants, letting users manage tasks, due dates, labels, and routines in natural language. It is a remote Streamable HTTP service authenticated with OAuth 2.0.
Key features
- 01Create, update, complete, and move tasks
- 02Manage lists, labels, and due dates
- 03Search tasks and lists and fetch details
- 04View today's tasks and the inbox
Use cases
- 01Add or organize to-dos in a chat
- 02Draft a project plan from meeting notes
- 03Review tasks completed during the week
MCP support
This remote MCP server uses Streamable HTTP and OAuth 2.0 sign-in to a Superlist account. It exposes tools for tasks, lists, labels, search, and retrieval.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://app.superlist.com/mcpclaude mcp add --transport http superlist https://app.superlist.com/mcp{"mcpServers":{"superlist":{"type":"http","url":"https://app.superlist.com/mcp"}}}Open in Cursor{"servers":{"superlist":{"type":"http","url":"https://app.superlist.com/mcp"}}}Open in VS Code{"mcpServers":{"superlist":{"type":"http","url":"https://app.superlist.com/mcp"}}}{"mcpServers":{"superlist":{"serverUrl":"https://app.superlist.com/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
Details
From the project READMESuperlist MCP Server
The task layer for your AI agents. Connect Superlist to Claude, ChatGPT, Cursor, or any MCP-compatible AI assistant and manage your tasks, lists, due dates, and routines in plain language — without leaving the chat.
Server URL: https://app.superlist.com/mcp Transport: Remote (Streamable HTTP) Authentication: OAuth 2.0 — sign in with your Superlist account Homepage: https://www.superlist.com/mcp Setup guide: https://help.superlist.com/en/articles/658028-superlist-mcp-server
What it does
The Superlist MCP server is a secure bridge between your Superlist account and any AI assistant that supports the Model Context Protocol (MCP). Once connected, your assistant can read and update your lists and tasks using everyday language — no copy-pasting, no switching tabs.
Things you can ask your assistant once it's connected:
"What's on my plate today?" "Add 'Pick up dry cleaning' to my Errands list." "Move all unfinished tasks from yesterday to today." "Draft a project plan in Superlist based on this meeting transcript." "Summarize what I got done this week."
Available tools
Tasks: add_task, get_task, update_task, complete_task, delete_task, move_task, assign_task, unassign_task
Labels: add_label, remove_label
Lists: add_list, get_list, get_lists, update_list, delete_list, share_list, unshare_list
Views: today (tasks due today or earlier assigned to you), inbox (tasks from your inbox)
Search & retrieval: search (search your tasks and lists), fetch (get full content of a task or list by id)
Identity: whoami (info about the authenticated Superlist user)
Connecting to Claude
Open Claude and go to Settings → Connectors → Add Connector. Paste in the Superlist MCP URL: https://app.superlist.com/mcp Click Connect and sign in with your Superlist account when prompted. Approve the requested permissions.
Any AI tool that supports custom MCP connectors will work — look for a "Connectors," "Integrations," or "MCP server" option in its settings. See the setup guide for ChatGPT and other tools.
Security
The connection uses standard OAuth. You sign in directly to Superlist — the AI tool never sees your password, it only accesses data your account already has access to, and you can revoke access at any time by removing the connector in your AI tool.
Links
Website: https://www.superlist.com MCP overview: https://www.superlist.com/mcp Help center: https://help.superlist.com/en/articles/658028-superlist-mcp-server Registry name: io.github.superlistapp/superlist
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.