Rhylthyme MCP Server
Allows importing protocols from protocols.io and converting them into validated schedule programs for execution.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Rhylthyme MCP ServerSchedule 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 Model Context Protocol server for schedules that a person executes: cooking several dishes so they finish together, running a bench protocol with overlapping incubations, calling an event, running a workout. An agent describes the process, the server validates and analyzes the resulting program, and publishes it as a live timeline on rhylthyme.com that the person follows on their phone.
This repository is the source of the server that runs at
mcp.rhylthyme.com. It is the same code as mcp-api/ in the
rhylthyme-server application, copied here with the static assets it
needs so it can be read, tested and self-hosted.
Endpoints
URL | Server name | Adds |
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| generic scheduler |
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Transport: Streamable HTTP, stateless. No sign-in is needed for the public
catalog or the pure tools; account tools take a per-user token from the
login tool. Server instructions describing the workflow are sent at
initialize.
Related MCP server: Orchestro
Connect
Claude Code
claude mcp add --transport http rhylthyme https://mcp.rhylthyme.com/mcp
claude mcp add --transport http rhylthyme-kitchen https://mcp.rhylthyme.com/kitchen/mcpClaude Desktop / claude.ai: Settings → Connectors → Add custom
connector → paste one of the URLs above. Public tools work immediately;
run login only to save to your own account.
Cursor (.cursor/mcp.json):
{ "mcpServers": { "rhylthyme": { "url": "https://mcp.rhylthyme.com/kitchen/mcp" } } }Claude API (MCP connector, one request):
import anthropic
client = anthropic.Anthropic()
resp = client.beta.messages.create(
model="claude-opus-5", max_tokens=16000,
betas=["mcp-client-2025-11-20"],
mcp_servers=[{"type": "url", "url": "https://mcp.rhylthyme.com/kitchen/mcp", "name": "rhylthyme"}],
tools=[{"type": "mcp_toolset", "mcp_server_name": "rhylthyme"}],
messages=[{"role": "user", "content": "Plan Thanksgiving for 8 with one oven, dinner at 6pm."}],
)Tools
Tool | Annotations | What it does |
| read-only, pure | Structural and scheduling checks (duplicate/missing ids, dangling references, cycles, within-track overlaps, tasks without a resource constraint, unparseable durations, choice references). Every finding carries a |
| read-only, pure | Resolved start/end per step, makespan, the dependency chain that determines it, resource-conflict windows, per-track slack, peak concurrency vs. declared actors. Pass |
| publishes | Validates (refuses invalid programs unless |
| publishes a share record | PNG of the timeline only, no prose. |
| read-only | Keyword search over the public catalog; |
| read-only | Full summary and live URL for one catalog entry. |
| read-only | One-shot on each vertical: top catalog match → live URL. |
| read-only | Random catalog pick on each vertical. |
| read-only | Spoonacular, TheMealDB, protocols.io, Cooklang, Opentrons Protocol API scripts, Benchling → validated program JSON. |
| pure | Equipment limits and actor types → environment JSON. |
| — | Returns the sign-in URL, then verifies a pasted token. |
| account | The user's own library; |
| read-only | Source of the Apache-2.0 timeline renderer, for HTML artifacts whose sandbox blocks external scripts. |
Annotations (readOnlyHint, destructiveHint, idempotentHint,
openWorldHint) are set on every tool; four tools also declare an
outputSchema and return structuredContent. Failures set isError
and say what to do next.
Resources and prompt
rhylthyme://schema/program: the program JSON Schema (0.3.0-alpha)rhylthyme://guide/authoring: one-page authoring rules, trigger vocabulary, how to make tracks finish together, repeated work (replicates, per-instanceinstances: "each"chains,"all"barriers andmaxInFlight), choice branchingrhylthyme://examples/{breakfast_schedule, lab_experiment, stir_fry_with_choice, hiit_cardio_workout, corporate_presentation, cookies_three_trays}: complete valid programs (cookies_three_traysis the 0.3.0-alpha per-instance / in-flight worked example)prompt
plan_schedule(goal, finishAt?, constraints?): walks the model through search → build → validate → analyze → visualize, and namesreplicates/instances/maxInFlightin its constraints step
What a program looks like
{
"schemaVersion": "0.1.0",
"programId": "eggs-and-toast",
"name": "Eggs and toast",
"tracks": [
{ "trackId": "eggs", "name": "Eggs", "steps": [
{ "stepId": "whisk", "name": "Whisk", "task": "prep",
"duration": { "type": "fixed", "seconds": 60 },
"startTrigger": { "type": "programStart" } },
{ "stepId": "cook", "name": "Cook", "task": "stove",
"duration": { "type": "variable", "minSeconds": 120, "maxSeconds": 240, "defaultSeconds": 180 },
"startTrigger": { "type": "afterStep", "stepId": "whisk" } } ] },
{ "trackId": "toast", "name": "Toast", "steps": [
{ "stepId": "toast", "name": "Toast", "task": "toaster",
"duration": { "type": "fixed", "seconds": 180 },
"startTrigger": { "type": "afterStep", "stepId": "cook", "event": "start", "offsetSeconds": 60 } } ] }
],
"resourceConstraints": [
{ "task": "prep", "maxConcurrent": 1 },
{ "task": "stove", "maxConcurrent": 2 },
{ "task": "toaster", "maxConcurrent": 1 }
]
}Steps in one track run sequentially; parallel work goes in separate
tracks; every task needs a resource constraint; durations and offsets
take seconds or strings like "5m". Triggers: programStart,
programStartOffset, afterStep (end or event: "start", signed offset),
afterStepWithBuffer, manual, onAbort, or {logic: all|any, triggers}.
Durations: fixed, variable (ended early by the executor), indefinite
(ended by the executor).
Self-hosting
git clone https://github.com/rhylthyme/rhylthyme-mcp
cd rhylthyme-mcp
npm install # Node 20 or newer
npm test # SDK in-memory + HTTP entry-point tests, no network
PORT=3000 npm start # http://localhost:3000/mcp and the four vertical pathsDocker: docker build -t rhylthyme-mcp . && docker run -p 3000:3000 rhylthyme-mcp.
Vercel: vercel in the repository root; vercel.json rewrites the endpoint
paths to the function.
What self-hosting does and does not give you: validation, timing analysis,
the renderer, resources and prompts run in your process. Catalog search,
sharing (visualize_schedule), imports and account tools call the public
API at https://www.rhylthyme.com (API_BASE in mcp-api/index.js), so
those still depend on the hosted service. The PNG preview route
/api/og/timeline.png additionally needs SUPABASE_URL and
SUPABASE_ANON_KEY for read access to shared programs; nothing else does.
Layout
mcp-api/index.js: tool, resource and prompt registration; vertical detection; OG-image route; Vercel handlermcp-api/schedule.js: validator and analyzer (pure)static/js/timeline-render.js: timing engine and SVG Gantt (also published as@rhylthyme/timeline)static/schema/,static/examples/: the resourcessrc/index.js: standalone HTTP runnermcp-api/server.json: MCP registry manifest
Known limitations
loginhands the user a URL and expects a pasted, short-lived access token that then travels as a tool argument; it is outside MCP's OAuth 2.1 flow. Hosts that require OAuth for authenticated servers can still use every public tool.search_public_recipessearches one environment at a time; the generic endpoint defaults to kitchen.Tool annotations are self-declared hints; hosts may ignore them.
License
MIT (this repository). The renderer in static/js/timeline-render.js
carries its own Apache-2.0 header.
This server cannot be deployed
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