Natural Language Control
Manage tasks using conversational commands instead of clicking through UIs.
Fizzy MCP is a Model Context Protocol (MCP) server that enables AI assistants to interact with Fizzy, the AI-powered task management platform built for modern teams.
The Model Context Protocol is an open standard developed by Anthropic that allows AI applications to securely connect to external data sources and tools. It provides a standardized way for AI assistants to:
Fizzy MCP bridges the gap between your AI assistant and your task management workflow:
Natural Language Control
Manage tasks using conversational commands instead of clicking through UIs.
Context Awareness
Your AI understands your boards, cards, and team structure.
Automation Ready
Chain multiple operations together for complex workflows.
Secure by Design
Uses Personal Access Tokens with configurable permissions.
Fizzy MCP offers two deployment modes to fit different use cases:
Use our hosted MCP service running on Cloudflare Workers. Your AI agent connects via HTTP to https://fizzy-mcp-hosted.ryanyogan.workers.dev/mcp.
Advantages:
Considerations:
// Example Claude Desktop config (Remote Mode){ "mcpServers": { "fizzy": { "transport": "http", "url": "https://fizzy-mcp-hosted.ryanyogan.workers.dev/mcp", "headers": { "X-Fizzy-Token": "your-fizzy-token" } } }}Run the MCP server locally on your machine. Your AI agent connects via stdio (standard input/output).
Advantages:
Considerations:
// Example Claude Desktop config (Local Mode){ "mcpServers": { "fizzy": { "command": "npx", "args": ["-y", "fizzy-do-mcp@latest"] } }}Fizzy MCP provides comprehensive API coverage across 7 categories:
| Category | Tools | Description |
|---|---|---|
| Identity | 2 | Account discovery and settings |
| Boards | 7 | Board CRUD and publishing |
| Cards | 18 | Card lifecycle, assignments, tags |
| Comments | 5 | Discussion threads on cards |
| Columns | 5 | Workflow stage management |
| Tags | 1 | Label management |
| Users | 2 | Team member information |
After authentication, the CLI can automatically detect and configure:
The CLI generates the correct configuration for your chosen mode (remote or local) and writes it directly to the agent’s config file.
Fizzy MCP includes a full-featured CLI for setup and management:
| Command | Description |
|---|---|
fizzy-mcp auth | Configure authentication (mode, token, API key) |
fizzy-mcp configure | Auto-configure AI agents |
fizzy-mcp whoami | Show current identity and account |
fizzy-mcp status | Check configuration status |
fizzy-mcp logout | Clear stored credentials |
Built with TypeScript and Zod validation:
import { FizzyClient } from '@fizzy-mcp/client';
const client = new FizzyClient({ accessToken: 'your-token', accountSlug: '/your-org',});
// Fully typed responsesconst result = await client.cards.list({ board_ids: ['abc123'] });if (result.ok) { console.log(`Found ${result.value.length} cards`);}Automatic retry logic with exponential backoff:
┌─────────────────┐│ You (Human) ││ ││ "Create a new ││ card called ││ Fix login" │└────────┬────────┘ │ ▼┌─────────────────┐│ AI Assistant ││ (Claude, etc.) ││ ││ Understands ││ your request │└────────┬────────┘ │ ▼ MCP over HTTP┌─────────────────┐│ Fizzy MCP ││ Hosted Service ││ ││ Cloudflare ││ Workers │└────────┬────────┘ │ ▼ HTTPS┌─────────────────┐│ Fizzy API ││ ││ Creates card ││ Returns data │└────────┬────────┘ │ ▼┌─────────────────┐│ AI Assistant ││ ││ "Created card ││ #42: Fix ││ login bug" │└─────────────────┘┌─────────────────┐│ You (Human) ││ ││ "Create a new ││ card called ││ Fix login" │└────────┬────────┘ │ ▼┌─────────────────┐│ AI Assistant ││ (Claude, etc.) ││ ││ Understands ││ your request │└────────┬────────┘ │ ▼ MCP via stdio┌─────────────────┐│ Fizzy MCP ││ Local Server ││ ││ fizzy_create_ ││ card tool │└────────┬────────┘ │ ▼ HTTPS┌─────────────────┐│ Fizzy API ││ ││ Creates card ││ Returns data │└────────┬────────┘ │ ▼┌─────────────────┐│ AI Assistant ││ ││ "Created card ││ #42: Fix ││ login bug" │└─────────────────┘Before getting started, you’ll need:
Ready to get started? Head to the Installation guide to set up Fizzy MCP.