Tinyt Todo Mcp
What is Tinyt Todo Mcp
Tiny TODO MCP is a specialized server that implements the Model Context Protocol (MCP), enabling AI assistants to interact with persistent storage for task management, allowing them to maintain context over time.
Use cases
Use cases include enhancing AI capabilities with persistent task tracking, enabling AI assistants to manage tasks with due dates, and providing time-aware reminders for upcoming and overdue tasks.
How to use
To use Tiny TODO MCP, integrate it with your AI assistant following the MCP protocol. You can create, update, delete, and search for tasks through the provided API endpoints.
Key features
Key features include creating TODOs with titles and due dates, updating task statuses, deleting tasks, searching by various criteria, and managing upcoming and overdue tasks.
Where to use
Tiny TODO MCP is suitable for applications requiring persistent task management, particularly in AI-driven environments where context retention is crucial.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Tinyt Todo Mcp
Tiny TODO MCP is a specialized server that implements the Model Context Protocol (MCP), enabling AI assistants to interact with persistent storage for task management, allowing them to maintain context over time.
Use cases
Use cases include enhancing AI capabilities with persistent task tracking, enabling AI assistants to manage tasks with due dates, and providing time-aware reminders for upcoming and overdue tasks.
How to use
To use Tiny TODO MCP, integrate it with your AI assistant following the MCP protocol. You can create, update, delete, and search for tasks through the provided API endpoints.
Key features
Key features include creating TODOs with titles and due dates, updating task statuses, deleting tasks, searching by various criteria, and managing upcoming and overdue tasks.
Where to use
Tiny TODO MCP is suitable for applications requiring persistent task management, particularly in AI-driven environments where context retention is crucial.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
Tiny TODO MCP
A Model Context Protocol (MCP) server implementation providing persistent task management capabilities for AI assistants.
Overview
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.
Features
TODO System
- Create TODOs: Store tasks with titles, descriptions, and due dates
- Update TODOs: Mark tasks as complete or incomplete
- Delete TODOs: Remove tasks from the system
- Search TODOs: Find tasks by various criteria including completion status and due dates
- Task Management: View upcoming and overdue tasks
Integration
- Follows the Model Context Protocol standard
- Designed for easy integration with AI assistants
- Provides consistent error handling and responses
Use Cases
- Extend AI capabilities with persistent task tracking
- Enable AI assistants to track tasks with due dates and completion status
- Support for time-aware task reminders (upcoming and overdue tasks)
Architecture
Tiny Memory MCP uses a SQLite database for persistent storage, with a clean layered architecture separating:
- Tool interface (MCP protocol implementation)
- Service layer (business logic)
- Repository layer (data access)
- Database layer (storage)
Each tool exposed through the MCP interface provides clear documentation of its capabilities, parameters, and return values.
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
