# MCP Todoist

> Use this tool when you need to integrate task management capabilities into your AI workflows, allowing agents to create, read, and manage tasks through a standardized Model Context Protocol interface. It solves problems related to task organization, scheduling, and assignment by providing a compatible bridge with the Todoist API. Input tasks, projects, and labels, and output managed workflows and updated task statuses.

Canonical page: https://skillsregistry.net/skills/kentaroh7777-mcp-todoist  
JSON: https://api.skillsregistry.net/v1/skills/kentaroh7777-mcp-todoist

## Description

A Model Context Protocol server implementation compatible with Todoist API, allowing AI agents to interact with task management functionality through standardized MCP tools.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/u3ckwy5256)
- **Repository:** <https://github.com/kentaroh7777/mcp-todoist>

## 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": "kentaroh7777-mcp-todoist"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kentaroh7777-mcp-todoist` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kentaroh7777-mcp-todoist/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