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MCP server · Finance

Fizzy Do

MCP server for integrating AI agents with Fizzy, Basecamp's task management tool

37Low

Scored 6 months ago · breakdown

About Fizzy Do

Fizzy Do is an MCP server in the Finance category: mCP server for integrating AI agents with Fizzy, Basecamp's task management tool.

Install

Claude Code
claude mcp add fizzy-do -- npx -y fizzy-do-mcp
npx
npx -y fizzy-do-mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Security checks

  • ✓README presentThe repository ships documentation.

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README

Fizzy Do MCP

Open-source MCP server that connects AI assistants to Fizzy (Basecamp's task management) with 70+ tools for boards, cards, workflows, and AI-powered project management.

What It Is

Fizzy Do MCP is a Model Context Protocol server that gives AI assistants full read/write access to Fizzy. Rather than switching between your editor and a project management UI, you manage boards, cards, comments, tags, and workflows through conversation. The tool surface covers the complete Fizzy API: card lifecycle (create, update, close, reopen, triage, postpone), board management, column workflows, checklist steps, reactions, notifications, and webhooks.

It also includes AI-powered project management tools — standup generation, progress tracking, and session management — that synthesize project state from card data rather than requiring manual status updates.

npm version

Quick Start

npx fizzy-do-mcp configure

The interactive wizard detects installed editors and configures them automatically.

Manual configuration:

{
  "mcpServers": {
    "fizzy": {
      "command": "npx",
      "args": ["-y", "fizzy-do-mcp"],
      "env": {
        "FIZZY_TOKEN": "your-fizzy-api-token"
      }
    }
  }
}

Supported Editors

Editor Status Guide
Claude Desktop Full support Configure
Claude Code Full support Configure
Cursor Full support Configure
Windsurf Full support Configure
Continue Full support Configure
OpenCode Full support Configure

Available Tools

70+ tools across these categories:

Category Description
Boards List, create, update, delete, publish/unpublish
Cards Full lifecycle — create, update, close, reopen, triage, postpone
Comments Add, edit, delete on cards
Columns Manage workflow stages
Tags & Users List, lookup, assign
Reactions Emoji reactions on cards and comments
Steps Checklist items within cards
Notifications Read and manage
Webhooks Configure integrations
Project Manager AI standups, progress tracking, sessions

Full tools reference

Architecture

fizzy-do-mcp/
├── packages/
│   ├── @fizzy-do-mcp/shared/   # Types, schemas, Result type
│   ├── @fizzy-do-mcp/client/   # Type-safe Fizzy API client
│   └── @fizzy-do-mcp/tools/    # MCP tool definitions
├── apps/
│   └── server/                  # CLI and MCP server
└── docs/                        # Documentation (VitePress)

Why This Matters

MCP servers tend to be thin wrappers around a single API. Fizzy Do MCP is more opinionated: the project management tools (standups, progress tracking) demonstrate that MCP tools can synthesize across multiple API calls rather than just proxying them. The AI doesn't just read your board — it generates a standup from card state across all your boards.

Status

Published on npm. Active development. Full documentation at fizzy.yogan.dev.

Stack

  • Runtime: Node.js 20+
  • Language: TypeScript
  • Protocol: Model Context Protocol (MCP)
  • Build: Vite+ (vp), Changesets for versioning
  • Docs: VitePress

CLI

npx fizzy-do-mcp configure   # Interactive setup wizard
npx fizzy-do-mcp whoami      # Check current identity
npx fizzy-do-mcp status      # View configuration status
npx fizzy-do-mcp logout      # Clear stored credentials
npx fizzy-do-mcp             # Run as MCP server

License

MIT — Ryan Yogan

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About Fizzy Do

How do I install Fizzy Do?

Run claude mcp add fizzy-do -- npx -y fizzy-do-mcp, then add the server to your MCP client's configuration.

Is Fizzy Do safe to use with an AI agent?

Its trust score is 37 out of 100 (low). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Fizzy Do still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.