AI Agent for MCP Todo List
Integrate your todo management effortlessly with the MCP Todo List App. Leverage seamless AI chatbot and assistant interaction through the Model Context Protocol (MCP), enabling advanced natural language task management. Enjoy robust task organization, AI-driven automation, and local data privacy—no SaaS account required.
Streamlined Todo Management with AI
Experience full control over your tasks with create, read, update, and delete capabilities. The MCP-compliant API ensures your todo list is always accessible and manageable via AI assistants, making productivity more intuitive and efficient.
- Full Todo List Functionality.
- Easily create, read, update, and delete tasks for complete task management.
- MCP-Compliant AI Integration.
- Control and manage tasks directly from AI assistants and chatbots using the standardized Model Context Protocol.
- Private Local Storage.
- Keep your data secure and private—no SaaS account or external cloud required.
- Natural Language Interaction.
- Interact with your todo list using conversational language for intuitive task handling.
Advanced Task Automation & AI Tools
Utilize a suite of MCP tools like Get-Todo, List-All-Todos, Add-Todo, and more. Automate routine task actions and stay on top of deadlines with AI-driven reminders, updates, and organization.
- Automated Task Completion.
- Automatically mark tasks as done and organize your workflow efficiently.
- Due Date Sorting.
- List tasks due today, this week, or overdue—never miss a deadline.
- Flexible Task Updates.
- Edit descriptions and due dates easily using AI prompts or manual input.
Easy Integration & Quick Setup
Get started in minutes—simply configure the server with your preferred AI assistant like Claude. Enjoy developer-friendly setup with Node.js, npm, or yarn support, and direct integration with your local workflow.
- Fast Installation.
- Clone, install, and run with just a few commands—get productive instantly.
- Developer Friendly.
- Supports Node.js, npm, yarn, and open-source collaboration for easy customization.
MCP INTEGRATION
Available Todo List MCP Integration Tools
The following tools are available as part of the Todo List MCP integration:
- Get-Todo
Retrieve a specific todo item by its ID, returning all details for that task.
- List-All-Todos
List all todo items currently in the system, regardless of status.
- List-Completed-Todos
List all todo items that have been marked as completed.
- List-Pending-Todos
List all todo items that are still pending and not yet completed.
- Add-Todo
Add a new todo item by providing its description and due date.
- Mark-Todo-Done
Mark a specific todo item as completed.
- List-Due-Today
List all pending todo items that are due today or overdue.
- List-Due-This-Week
List all pending todo items that are due this week or earlier.
- Update-Todo
Update a todo's description and/or due date to keep tasks accurate.
Connect Your MCP Todo List App with FlowHunt AI
Connect your MCP Todo List App to a FlowHunt AI Agent. Book a personalized demo or try FlowHunt free today!
What is Todos-MCP
Todos-MCP is an open-source todo list application developed by Tom Elliot that implements the Model Context Protocol (MCP). It is designed to serve as a practical and fully functional todo list manager that can be seamlessly controlled by AI assistants and chatbots. By adhering to the MCP specification, Todos-MCP enables natural language interactions with task management systems, making it easier for users to create, read, update, and delete tasks through conversational interfaces. The application supports local storage, eliminating the need for SaaS accounts, and provides a robust MCP-compliant API for easy integration. Todos-MCP is particularly aimed at showcasing how MCP allows AI models to interact with applications in a consistent and secure manner, which is beneficial for AI-driven workflows and demonstration purposes.
Capabilities
What we can do with Todos-MCP
Todos-MCP empowers users and AI assistants to manage tasks more efficiently by offering a set of robust features through the Model Context Protocol. It supports automation and natural language task management, making it ideal for both individual productivity and integration into AI workflows.
- Create and manage todos
- Easily add, update, and delete tasks using simple commands or natural language through chatbots and AI assistants.
- View and organize tasks
- List all todos, filter by completed or pending status, and see tasks due today or this week.
- AI-driven task completion
- Allow AI assistants to mark tasks as done or update descriptions and due dates automatically.
- MCP-compliant API
- Integrate seamlessly with AI agents and other tools that understand the Model Context Protocol.
- Local-first & privacy-respecting
- Store tasks locally without requiring any external SaaS account, ensuring user privacy.
What is Todos-MCP
AI agents and chatbots can benefit greatly from Todos-MCP by leveraging its MCP-compliant API to interact with todo lists in a structured and predictable way. This enables automation of routine productivity tasks, personalized reminders, and hands-free task management within any MCP-enabled ecosystem. By integrating Todos-MCP, AI agents can help users maintain productivity, never miss deadlines, and streamline their workflow through conversational interfaces.