# super-productivity-mcp

> super-productivity-mcp — amorem-super-productivity-mcp. Use this tool when you need to streamline task management and automate workflow using natural language commands. It connects AI models like ChatGPT Desktop or Codex to Super Productivity's API, enabling features like task selection, planning, and timer control. Ideal for boosting productivity, it takes in natural language inputs and outputs controlled task management actions.

Canonical page: https://skillsregistry.net/skills/amorem-super-productivity-mcp  
JSON: https://api.skillsregistry.net/v1/skills/amorem-super-productivity-mcp

## Description

An MCP server that connects ChatGPT Desktop or Codex to Super Productivity's local REST API, enabling explicit task selection, planning, timer control, and completion via natural language.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/yapd0z44cu)
- **Repository:** <https://github.com/Amorem/super-productivity-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": "amorem-super-productivity-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/amorem-super-productivity-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/amorem-super-productivity-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