# todos-mcp

> Use this tool when you need to manage tasks efficiently through natural language interactions. The todos-mcp tool solves problems of task organization and tracking by enabling AI assistants to create, read, update, and delete tasks, accepting natural language inputs and producing updated task lists as outputs. It is ideal for use in contexts where voice or text-based interfaces are preferred, such as virtual assistants or chatbots.

Canonical page: https://skillsregistry.net/skills/tomelliot-todos-mcp  
JSON: https://api.skillsregistry.net/v1/skills/tomelliot-todos-mcp

## Description

A todo list manager with MCP integration that enables AI assistants to create, read, update, and delete tasks through natural language.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dvxkdtd837)
- **Repository:** <https://github.com/tomelliot/todos-mcp>

## 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": "tomelliot-todos-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tomelliot-todos-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tomelliot-todos-mcp/pull`

---
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