# io.github.davegomez/fizzy

> Use this tool when you need to manage tasks efficiently, as it provides a robust MCP server for Fizzy task management, solving problems related to organization and productivity. It takes in task assignments and outputs organized schedules, allowing for streamlined workflow management. Ideal for use in contexts where multiple tasks need to be coordinated and prioritized.

Canonical page: https://skillsregistry.net/skills/io-github-davegomez-fizzy  
JSON: https://api.skillsregistry.net/v1/skills/io-github-davegomez-fizzy

## Description

MCP server for Fizzy task management

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.davegomez%2Ffizzy)
- **Repository:** <https://github.com/davegomez/fizzy-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": "io-github-davegomez-fizzy"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-davegomez-fizzy` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-davegomez-fizzy/pull`

---
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