What does Tiny TODO MCP do that built-in AI context cannot?
It provides persistent storage for tasks, allowing AI assistants to maintain and manage tasks beyond their usual context window.
@tkc
Basic information
Tiny TODO MCP is a specialized server that implements the Model Context Protocol (MCP), allowing AI assistants to interact with persistent storage for tasks. This enables AI models to maintain context over time and create and manage tasks beyond their usual context limitations.
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Tiny TODO MCP is a Model Context Protocol (MCP) server that provides persistent task management for AI assistants. It stores tasks with titles, descriptions, and due dates, enabling AI models to maintain task context beyond their usual context limitations.
Set up the Tiny TODO MCP server and connect your AI assistant via the Model Context Protocol. Once integrated, the assistant can invoke tools to create, update, delete, search, and manage tasks with due dates and completion status.
It provides persistent storage for tasks, allowing AI assistants to maintain and manage tasks beyond their usual context window.
It uses a SQLite database for all persistent data.
Yes, it supports storing due dates and provides views for upcoming and overdue tasks.
It follows a layered architecture: tool interface (MCP protocol), service layer (business logic), repository layer (data access), and database layer (storage).
The README does not specify authentication or transport details beyond implementing the Model Context Protocol standard.

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