# todoist-mcp

> Use this tool when you need to manage your Todoist tasks, projects, and labels using natural language commands. It solves problems of task organization and prioritization by allowing users to interact with Todoist through conversational interfaces like Claude Desktop. The tool takes natural language inputs and outputs updated Todoist tasks, projects, and labels, making it ideal for users seeking a hands-free and voice-controlled task management experience.

Canonical page: https://skillsregistry.net/skills/amattas-todoist-mcp  
JSON: https://api.skillsregistry.net/v1/skills/amattas-todoist-mcp

## Description

Enables Claude Desktop and other MCP clients to manage Todoist tasks, projects, and labels through natural language.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/q1nlzqas3l)
- **Repository:** <https://github.com/amattas/todoist-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": "amattas-todoist-mcp"
    }
  }
}
```

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