https://github.com/tkc/tinyt-todo-mcp
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.
https://github.com/tkc/tinyt-todo-mcp
claude mcp mcp-server
Last synced: 3 months ago
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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.
- Host: GitHub
- URL: https://github.com/tkc/tinyt-todo-mcp
- Owner: tkc
- Created: 2025-03-23T06:22:33.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2025-03-23T09:12:26.000Z (3 months ago)
- Last Synced: 2025-03-23T09:34:59.053Z (3 months ago)
- Topics: claude, mcp, mcp-server
- Language: TypeScript
- Homepage: https://medium.com/@loosefingers/tiny-todo-mcp-designing-and-implementing-a-simple-todo-app-leveraging-llm-power-51aad4063cb3
- Size: 74.2 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- mcp-index - Tiny TODO - Manage tasks with persistent storage capabilities, including creating, updating, and tracking TODOs. Provides time-aware reminders and efficient task management features to maintain context over time. (Task and Project Management)
README
# 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.