# Todoist Weekly Review MCP

> Todoist Weekly Review MCP — yugmarwaha-todoist-weekly-review-mcp. Use this tool when you need to efficiently manage and catch up on overdue tasks in Todoist. It solves problems of task procrastination and disorganization by providing a weekly review of overdue tasks with key signals and proposed fixes. The tool takes in your Todoist tasks as input and outputs a list of tasks with proposed corrections, allowing you to approve or veto changes in a chat interface.

Canonical page: https://skillsregistry.net/skills/yugmarwaha-todoist-weekly-review-mcp  
JSON: https://api.skillsregistry.net/v1/skills/yugmarwaha-todoist-weekly-review-mcp

## Description

Enables a weekly review of Todoist tasks by listing overdue tasks with key signals (days overdue, priority, times postponed) and letting Claude propose fixes per task, which you approve or veto in chat before any changes are applied.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/at119un35b)
- **Repository:** <https://github.com/yugmarwaha/todoist-weekly-review-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": "yugmarwaha-todoist-weekly-review-mcp"
    }
  }
}
```

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