Todo MCP Server
Enables AI assistants to manage a todo list with add, list, complete, and delete tasks.
README
š Todo MCP Server
A simple Todo List MCP server built for learning!
What is this?
This is an MCP (Model Context Protocol) server that gives AI assistants (like Claude) the ability to manage a todo list for you.
Tools Included:
- add_todo - Add a new task
- list_todos - See all your tasks
- complete_todo - Mark a task as done ā
- delete_todo - Remove a task šļø
š Quick Start
1. Install dependencies
cd todo-mcp
npm install
2. Build the project
npm run build
3. Test it works
node index.js
(Press Ctrl+C to stop - it will just wait for input)
š Connect to Claude Desktop
Edit your Claude Desktop config file:
Mac: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
Add this to the file:
{
"mcpServers": {
"todo": {
"command": "node",
"args": ["/FULL/PATH/TO/todo-mcp/index.js"]
}
}
}
ā ļø Replace /FULL/PATH/TO/ with the actual path to your todo-mcp folder!
Then restart Claude Desktop.
š Connect to Codebuff
Create or edit .codebuff/config.json in your project:
{
"mcpServers": {
"todo": {
"command": "node",
"args": ["/FULL/PATH/TO/todo-mcp/index.js"]
}
}
}
Or add to global config at ~/.codebuff/config.json.
Then restart Codebuff.
š” How to Use
Once connected, just talk to Claude naturally:
- "Add 'buy groceries' to my todo list"
- "What's on my todo list?"
- "Mark todo #1 as complete"
- "Delete todo #2"
Claude will automatically use the right tools!
š Learning More
Look at index.ts - it's full of comments explaining every part!
Key concepts:
- Tools = Actions the AI can take
- inputSchema = What info each tool needs
- Request Handlers = Code that runs when tools are used
ā ļø Note
Todos are stored in memory only - they disappear when the server restarts. This is intentional for learning! A real app would save to a file or database.
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