An MCP server that exposes deployed workflows as callable tools for Claude. MCP lets an AI application trigger external workflows, while the workflows themselves run in a separate runtime.

Use it after compiling and deploying a pipeline to register and trigger it through DBOS, Temporal, or Cloudflare.

It connects compiled pipelines to Claude without hosting the pipeline execution inside the MCP server.

serve — Skill for Claude Code and Codex by trevhud: An MCP server that exposes deployed workflows as callable…

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods

npx agentmods add skills/trevhud/rote/serve

Any agent

npx skills add trevhud/rote --skill serve

Clone the repo

git clone --depth 1 https://github.com/trevhud/rote

Made for: Claude Code, Codex.

Or install rote, the plugin that ships this one along with the rest of its 2 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/trevhud/rote/serve.svg)](https://agentmods.dev/skills/trevhud/rote/serve)

Your own site

<a href="https://agentmods.dev/skills/trevhud/rote/serve"><img src="https://agentmods.dev/badge/skills/trevhud/rote/serve.svg" alt="Measured on agentmods" height="20"></a>

Per session 88 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,005 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. Scan, not verified.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5	$0.00088	$0.01005
Opus 5	$0.00044	$0.00502
Sonnet 5	$0.00018	$0.00201
Haiku 4.5	$0.00009	$0.00101

Measured 4d ago against content hash c9b451db9fca, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

serve scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugin/skills/serve/SKILL.md · 101 lines

How it starts

The opening of the file, as written. The whole thing — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Serve compiled pipelines as MCP tools

rote serve is one MCP server exposing every registered pipeline as a callable tool. The flow:

rote compile → deploy the runtime → rote register → rote serve → call from Claude

rote serve triggers deployed workflows; it does not host them. MCP triggering supports the dbos (default), temporal, and cloudflare runtimes.

The CLI ships on PyPI as rote-cli with an executable named rote, so every invocation is uvx --from rote-cli rote <args> (never uvx rote-cli ...). For unreleased features, substitute the source: uvx --from git+https://github.com/trevhud/rote rote <args>.

1. Check preconditions

A compile output directory exists (contains compiled/pipeline.yaml).
The runtime side is running: for DBOS, the emitted app in worker mode (python main.py --serve or dbos start) against the system database you'll register — enqueued runs sit in status enqueued until that process exists; for Temporal, a worker against the user's cluster; for Cloudflare, wrangler deploy done. If not, stop and help with that first.

2. Register the pipeline

# DBOS (the default). System DB URL: --system-database-url, else
# $DBOS_SYSTEM_DATABASE_URL, else the emitted app's SQLite file
# (derived from <out-dir>/runtime/dbos/main.py).
uvx --from rote-cli rote register <out-dir>

# Temporal (defaults: localhost:7233, namespace "default",
# task queue = pipeline.name, workflow type = the emitted versioned name)
uvx --from rote-cli rote register <out-dir> --runtime temporal

# Cloudflare
uvx --from rote-cli rote register <out-dir> --runtime cloudflare \
  --url https://<worker>.workers.dev

This upserts ~/.rote/registry.json. Re-registering updates in place. After re-compiling a changed skill, register again — the DBOS and Temporal workflow names are derived from the pipeline content hash and must stay in sync with the emitted code.

3. Add the MCP server to Claude

rote serve needs the serve extra (FastMCP) plus dbos when any registered pipeline runs on DBOS, so the spec includes both:

Read the full file on GitHub · 101 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

4d ago First seen · 101 lines · 88 tokens per session scan A c9b451db9fca

Subscribe to this mod's changes

serve is a skill published in the GitHub repository trevhud/rote (6 stars, last pushed today), licensed Apache-2.0. It adds 88 tokens to every session and 1,005 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Backend and APIs Building agents agent-skills agentic-ai ai-agents anthropic claude cli

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

brainstorming

You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.

obra/superpowers · 37 tokens

auto-perf-optimize

Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.

microsoft/vscode · 62 tokens

chat-perf

Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.

microsoft/vscode · 51 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens