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rhylthyme-mcp

Rhylthyme schedules multi-step work that a person carries out against a clock (several dishes landing together, a lab protocol with overlapping incubations, an event run-of-show, a workout) and publishes it as a live timeline with timers.

The Rhylthyme MCP server is hosted. Most clients need nothing from this package: connect to the URL.

Endpoint For
https://mcp.rhylthyme.com/mcp anything
https://mcp.rhylthyme.com/kitchen/mcp cooking
https://mcp.rhylthyme.com/lab/mcp lab protocols
https://mcp.rhylthyme.com/events/mcp events
https://mcp.rhylthyme.com/gym/mcp workouts
  • Claude (claude.ai, desktop, mobile): Settings → Connectors → Add custom connector → paste a URL.
  • ChatGPT: Settings → Apps & Connectors → Advanced settings → Developer mode → create a connector with a URL.
  • Claude Code: claude mcp add --transport http rhylthyme https://mcp.rhylthyme.com/mcp
  • Cursor and others: { "mcpServers": { "rhylthyme": { "url": "https://mcp.rhylthyme.com/mcp" } } }

No account or API key is needed for the public tools (validate, analyze, publish a timeline, search the catalog).

What this package is

A stdio bridge, for clients that can only launch a command. It speaks MCP on stdin/stdout and passes every request through to the hosted server, so you always get the current tools, resources and prompts.

pip install rhylthyme-mcp        # or: pipx install rhylthyme-mcp / uvx rhylthyme-mcp
{
  "mcpServers": {
    "rhylthyme": { "command": "rhylthyme-mcp", "args": ["kitchen"] }
  }
}

args is optional: kitchen, lab, events, gym, or nothing for the general endpoint. --url (or RHYLTHYME_MCP_URL) points it at a server you host yourself. RHYLTHYME_TOKEN, if set, is sent as a bearer token; only the account tools (your saved programs, recorded runs, imports) need one.

No MCP client at all

One HTTP request works, with no handshake and no account:

curl -s https://mcp.rhylthyme.com/mcp \
  -H 'Content-Type: application/json' -H 'Accept: application/json' \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/list"}'

Or the command-line tool: pip install rhylthyme-cli-runner, then rhylthyme validate, rhylthyme analyze --finish-at 18:00, rhylthyme publish (prints the live-timeline URL).

Upgrading from 0.1.0

0.1.0 was a local server with a single visualize_schedule tool that opened an HTML file in your browser. 0.1.1 replaces it with the bridge: the same rhylthyme-mcp command and the same client configuration, but every tool of the hosted server, and links to live timelines instead of local files.

Docs: https://docs.rhylthyme.com/web-app/mcp/ · Source: https://github.com/rhylthyme/rhylthyme-mcp (python/) · License: Apache-2.0

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