# Fizzy

> Use this tool when you need to interact with and manage kanban boards, cards, and workflows. It solves problems related to task and project management by providing a comprehensive set of CRUD operations and card lifecycle actions. It accepts various inputs, such as board and card data, and outputs updated workflow states, making it ideal for use cases that require automated or programmatic control over kanban boards.

Canonical page: https://skillsregistry.net/skills/gh-ryanyogan-fizzy  
JSON: https://api.skillsregistry.net/v1/skills/gh-ryanyogan-fizzy

## Description

Provides 40 tools for interacting with Fizzy, the open-source kanban board by 37signals/Basecamp. Supports full CRUD operations on boards, cards, columns, comments, and tags, plus card lifecycle actions like closing, reopening, postponing, triaging, and assigning. Offers both local stdio and hosted remote deployment modes with type-safe TypeScript implementation and exponential backoff retry logic.

## Trust

- **Trust score (0–1):** 0.88
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/gh-ryanyogan-fizzy)
- **Repository:** <https://github.com/ryanyogan/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": "gh-ryanyogan-fizzy"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gh-ryanyogan-fizzy` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gh-ryanyogan-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
