How do I use Rhylthyme MCP Server?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Rhylthyme MCP Server Schedule a roast chicken dinner with one oven and two stove burners." That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

Rhylthyme MCP Server

A remote Model Context Protocol (MCP) server for creating interactive schedule visualizations on rhylthyme.com.

Describe a multi-step process — cooking a meal, running a lab protocol, coordinating an event — and get a shareable interactive timeline with parallel tracks, dependencies, resource constraints, and a live execution timer.

Endpoint

https://mcp.rhylthyme.com/mcp

Transport: Streamable HTTP

Tools

`visualize_schedule`

Create an interactive schedule visualization. Takes a Rhylthyme program JSON with tracks, steps, durations, triggers, and resource constraints. Returns a shareable URL on rhylthyme.com.

`import_from_source`

Import a recipe or protocol from external sources:

spoonacular — recipes (preferred)
themealdb — recipes (fallback)
protocolsio — lab protocols

Actions: search, import, random

`create_environment`

Define a workspace with resource constraints (e.g., a kitchen with 1 oven and 2 burners, or a lab with 3 centrifuges).

Setup

Claude Desktop

Add to your Claude Desktop configuration (claude_desktop_config.json):

{
  "mcpServers": {
    "rhylthyme": {
      "type": "url",
      "url": "https://mcp.rhylthyme.com/mcp"
    }
  }
}

Claude Code

claude mcp add rhylthyme --transport http https://mcp.rhylthyme.com/mcp

Cursor

Add to .cursor/mcp.json:

{
  "mcpServers": {
    "rhylthyme": {
      "url": "https://mcp.rhylthyme.com/mcp"
    }
  }
}

Example

"Schedule a Thanksgiving dinner for 12 with turkey, stuffing, three sides, and pie — we have one oven and two stove burners."

Returns an interactive timeline visualization showing parallel tracks for oven, stovetop, and prep work, with step dependencies and resource constraints. The visualization is shareable via URL and can be run as a live timer.