Todo List MCP Server

Todo List MCP MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. Todo list MCP server.

What you get

A Model Context Protocol (MCP) server that provides a comprehensive API for managing todo items.

• Create todos — Add new tasks with title and markdown description
• Update todos — Modify existing tasks
• Complete todos — Mark tasks as done
• Delete todos — Remove tasks from the list
• Search todos — Find tasks by title or creation date
• Summarize todos — Get a quick overview of active tasks

What the assistant can call

Once Todo List MCP is connected, these are the calls the assistant has available:

• Cursor — The Cursor tool exposed by this server
• Building — The Building tool exposed by this server

Setting it up

Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.

Choosing this one

Plenty of developer tooling servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Todo List MCP's toolset — Cursor, Building — is a fair guide to whether it matches your workflow. It is maintained by RegiByte; worth a glance at recent repository activity before you build anything load-bearing on it.

We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.

Before you rely on it

• It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
• MCP clients confirm each tool call by default. Leave that on until you have watched what the todo list mcp mcp server does with a few real requests.