# codex-mcp-todo-assistant

> codex-mcp-todo-assistant — lianheng-y-codex-mcp-todo-assistant. Use this tool when you need to manage and organize tasks efficiently, and want to track todos via natural language inputs. It solves problems of task overload and disorganization by providing core functionalities such as adding, listing, completing, and clearing tasks. The tool accepts natural language inputs and outputs task summaries, making it ideal for use in contexts where streamlined task management is crucial.

Canonical page: https://skillsregistry.net/skills/lianheng-y-codex-mcp-todo-assistant  
JSON: https://api.skillsregistry.net/v1/skills/lianheng-y-codex-mcp-todo-assistant

## Description

An MCP server that provides todo management tools (add, list, complete, clear, summarize) and a resource for reading all todos, enabling Codex or other MCP clients to organize and track tasks via natural language.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bj79ffjqr6)
- **Repository:** <https://github.com/Lianheng-Y/codex-mcp-todo-assistant>

## 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": "lianheng-y-codex-mcp-todo-assistant"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lianheng-y-codex-mcp-todo-assistant` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lianheng-y-codex-mcp-todo-assistant/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