# ToDo-List MCP Server

> ToDo-List MCP Server — haseebayasin55-todo-list-mcp-server. Use this tool when you need to manage a to-do list remotely through an MCP-compatible AI client, allowing you to add, view, complete, and delete tasks with ease. It solves problems of task management and organization, providing a simple interface for AI agents to interact with your to-do list. The server accepts MCP requests as input and returns task data as output, making it a convenient solution for automating task management workflows.

Canonical page: https://skillsregistry.net/skills/haseebayasin55-todo-list-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/haseebayasin55-todo-list-mcp-server

## Description

A simple, beginner-friendly Model Context Protocol (MCP) server written in Python. It lets any MCP-compatible AI client (like Claude Desktop) manage a to-do list on your computer through five tools: add, view, get by ID, complete, and delete.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/t638vadmnu)
- **Repository:** <https://github.com/HaseebaYasin55/ToDo-List-MCP-Server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "haseebayasin55-todo-list-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/haseebayasin55-todo-list-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/haseebayasin55-todo-list-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt