# amazing-marvin-complete-mcp

> amazing-marvin-complete-mcp — andreasd083-amazing-marvin-complete-mcp. Use this tool when you need to manage tasks, habits, and time blocks through natural language, or integrate with a task management system to automate workflows. It exposes 34 tools across 31 endpoints, allowing assistants to create, read, update, and delete tasks, habits, time blocks, reminders, and reward points. Ideal for use cases where natural language task management and automation are required, with inputs including text-based commands and outputs including task updates and reminders.

Canonical page: https://skillsregistry.net/skills/andreasd083-amazing-marvin-complete-mcp  
JSON: https://api.skillsregistry.net/v1/skills/andreasd083-amazing-marvin-complete-mcp

## Description

An MCP server that exposes the full Amazing Marvin public API (34 tools across ~31 endpoints) so assistants can manage tasks, habits, time blocks, reminders, and reward points through natural language.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ism4a1wp2x)
- **Repository:** <https://github.com/andreasd083/amazing-marvin-complete-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": "andreasd083-amazing-marvin-complete-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/andreasd083-amazing-marvin-complete-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/andreasd083-amazing-marvin-complete-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