Simplify todo management with MCP server, SQLite storage, and easy add, list, remove functionalities
Todo MCP Server is a straightforward yet powerful implementation of an MCP (Model Context Protocol) server tailored for managing todo items with SQLite database storage. This server provides a robust foundation for integrating AI applications with specific data sources, enabling seamless communication and operation within broader AI workflows.
The Todo MCP Server includes essential functionalities such as adding new todo items, listing all todo items, and removing todo items by their unique IDs. These operations are designed to align with the MCP protocol, ensuring compatibility with various external applications and tools.
To add a new task to your todo list, utilize the add-todo
command with a specified text parameter. This feature is pivotal for maintaining up-to-date and relevant data within AI workflows where real-time updates are crucial.
The get-todos
command allows you to retrieve all currently stored todo items in your database. This function supports dynamic and efficient retrieval of information, essential for applications requiring real-time updates or historical context.
By employing the remove-todo
command along with a unique identifier, you can efficiently manage your data structure. This capability ensures that outdated or irrelevant tasks are removed promptly, maintaining optimal performance and scalability.
This Todo MCP Server leverages modern technologies like TypeScript for type safety and maintainability, and better-sqlite3 for efficient SQLite database operations. The server's architecture is built around the MCP protocol, ensuring seamless interaction with other AI applications through a standardized method of communication.
The application utilizes SQLite as its primary storage mechanism. By default, the database file resides at C:/todos/todos.db
. However, this location can be easily adjusted by modifying the DB_LOCATION
variable in the src/database.ts
.
const DB_LOCATION = "C:/todos"; // Examples include windows paths, macOS path joining, and Linux home directory
The following tools are available for interacting with the server:
add-todo: Adds a new todo item.
text
(string).add-todo(text: "Buy groceries")
get-todos: Lists all todo items.
remove-todo: Removes a specific todo item by its ID.
id
(number).remove-todo(id: 1)
To get the Todo MCP Server up and running, follow these instructions:
Install Dependencies:
npm install
Configure Database Location (Optional):
Open src/database.ts
to adjust the DB_LOCATION
variable for your preferred data storage location.
Build the Project:
npm run build
Imagine building an application that integrates with a calendar or scheduling tool, allowing users to dynamically add tasks and manage their todo lists from within their AI application. The Todo MCP Server provides the backbone for real-time task updates, ensuring seamless integration.
Utilize the get-todos
API endpoint in an intelligent assistant that needs to maintain a real-time feed of important items. For instance, integrating this into a financial management application where transactions or events are frequently updated can enhance user experience and data accuracy.
The Todo MCP Server is compatible with multiple MCP clients, including:
The following table outlines the compatibility status of various MCP clients with the Todo MCP Server:
MCP Client | Resources | Tools | Prompts | Status |
---|---|---|---|---|
Claude Desktop | ✅ | ✅ | ✅ | Full Support |
Continue | ✅ | ✅ | ✅ | Full Support |
Cursor | ❌ | ✅ | ❌ | Tools Only |
The Todo MCP Server boasts excellent performance and compatibility across different environments. The use of better-sqlite3 ensures efficient data management, while TypeScript provides robust type safety for easy development.
Here is an example configuration snippet to integrate the Todo MCP Server into a larger application:
{
"mcpServers": {
"[server-name]": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-todo"],
"env": {
"API_KEY": "your-api-key"
}
}
}
}
Customize the server according to your needs by modifying the configuration files and environment variables.
Ensure that sensitive information, such as API keys, is securely managed. Utilize secure methods for storing and transmitting credentials to prevent unauthorized access.
Q: Is there a limit to the number of todo items that can be stored?
Q: Can other applications besides those listed in the compatibility matrix use the Todo MCP Server?
Q: How does the Todo MCP Server ensure data integrity during database operations?
Q: Is there a maintenance schedule for the database updates within the Todo MCP Server?
Q: Can multiple users access and modify their todo lists simultaneously through different clients?
Contributions to this project are welcome! To get started:
Clone the Repository:
git clone https://github.com/example/todo-mcp-server.git
Set Up Development Environment:
README
.Contribute Code or Documentation: Ensure that your code adheres to best practices and includes appropriate tests.
Explore other resources within the MCP ecosystem, including documentation, guides, and community support channels for developers looking to integrate their applications with this protocol.
graph TD
A[AI Application] -->|MCP Client| B[MCP Protocol]
B --> C[MCP Server]
C --> D[Data Source/Tool]
style A fill:#e1f5fe
style C fill:#f3e5f5
style D fill:#e8f5e8
---
graph TD
A[API Client] -->|MCP Request| B[MCP Server]
B -->|DB Operation| C[SQLite Database]
C -->|MCP Response| A
style A fill:#d0ebff
style B fill:#fcddbf
style C fill:#f9efcc
These diagrams illustrate the flow of data and commands between an API client, MCP Server, and SQLite database.
By implementing this Todo MCP Server, developers can unlock new levels of integration and efficiency in their AI workflows, ensuring that tasks are managed seamlessly across various applications.
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