Wire a compiled rote pipeline up as an MCP tool so Claude can trigger the deployed workflow directly.

Apache-2.0Auto-check passedAgent Workflows

Install Serve

skills CLI
$ npx skills add ccplugins/awesome-claude-code-plugins --skill serve -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install ccplugins/awesome-claude-code-plugins serve --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/ccplugins/awesome-claude-code-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/rote/skills/serve .claude/skills/serve && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
serve
GitHub stars
967
Token cost
~993 tokens
SKILL.md length
381 words
Files
1
Skills in repo
68
Repo updated
First seen
Licence
Apache-2.0

At a glance

Wire a compiled rote pipeline up as an MCP tool so Claude can trigger the deployed workflow directly.

  • Works in 4 steps: Check preconditions → Register the pipeline → Add the MCP server to Claude → …
  • The deployed workflow directly
  • SKILL.md covers 1. Check preconditions, 2. Register the pipeline, 3. Add the MCP server to Claude and 4. Explain the reconnect caveat
  • Calls uvx, claude and python; reaches github.com

What it does

Serve is an agent skill from ccplugins/awesome-claude-code-plugins. Wire a compiled rote pipeline up as an MCP tool so Claude can trigger the deployed workflow directly. Use when the user says "register my compiled pipeline", "serve my pipelines over MCP", "trigger the workflow from Claude", "hook the pipeline up to Claude", or asks what to do after rote compile and deployment. Covers rote register and rote serve plus the claude mcp add wiring.

Its SKILL.md is about 990 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows, covering MCP servers. It works with Model Context Protocol. The repository describes itself as: Awesome Claude Code plugins — a curated list of slash commands, subagents, MCP servers, and hooks for Claude Code. The licence is Apache-2.0.

When your agent uses it

  • The deployed workflow directly
  • The user says register my compiled pipeline
  • Serve my pipelines over MCP
  • Trigger the workflow from Claude

Example prompts

  • “register my compiled pipeline”
  • “serve my pipelines over MCP”
  • “trigger the workflow from Claude”
  • “/serve”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Check preconditions
  2. Register the pipeline
  3. Add the MCP server to Claude
  4. Explain the reconnect caveat

What it can do on your machine

Read from SKILL.md and the folder at commit 5bd4f16. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • uvx
    • claude
    • python
    • wrangler

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • github.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Serve loads about 993 tokens when it runs. Until then it costs about 99 tokens; SKILL.md has 381 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~99
When it runs · the whole SKILL.md, loaded when a task matches
~993

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from ccplugins/awesome-claude-code-plugins at commit 5bd4f16, republished under its Apache-2.0 licence (© ccplugins). 381 words, ~993 tokens.

Download SKILL.mdSave it as .claude/skills/serve/SKILL.md (or your agent's skills folder).
name
serve
description
Wire a compiled rote pipeline up as an MCP tool so Claude can trigger the deployed workflow directly. Use when the user says "register my compiled pipeline", "serve my pipelines over MCP", "trigger the workflow from Claude", "hook the pipeline up to Claude", or asks what to do after `rote compile` and deployment. Covers `rote register` and `rote serve` plus the `claude mcp add` wiring.

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

sh
# 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.

Show full SKILL.md (198 more words)Show less

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:

sh
claude mcp add --scope user rote -- uvx --from 'rote-cli[serve,dbos]' rote serve

For unreleased features, use the GitHub source instead:

sh
claude mcp add --scope user rote -- \
  uvx --from 'rote-cli[serve,dbos] @ git+https://github.com/trevhud/rote' rote serve

Verify with claude mcp list. Each registry entry becomes two tools (three for DBOS): <name> (starts a run, returns {workflow_id, status: "started"} immediately — compiled pipelines run minutes to days), <name>_status (polls a run by workflow_id), and for DBOS <name>_signal (resumes a run parked at a HITL gate: workflow_id + gate signal name + resume payload — so Claude can deliver approvals itself). A DBOS run whose status stays enqueued means the emitted app process isn't running against the registered system database.

4. Explain the reconnect caveat

A running rote serve picks up registry changes live — no restart of the server, ever. But clients differ:

  • Claude Code refreshes its tool list on the server's list_changed notification: newly registered pipelines appear immediately.
  • Claude Desktop and claude.ai snapshot tools at connect time. A pipeline registered while they're connected appears only after a reconnect — restart Desktop or toggle the server off/on; on claude.ai, re-enable the connector.

Tell the user this proactively if they plan to use Desktop or claude.ai.

© ccplugins, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in plugins/rote/skills/serve of ccplugins/awesome-claude-code-plugins.

Open the folder on GitHubat commit 5bd4f16

Compare with similar skills

Serve next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Serve compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Serve this skillccplugins/awesome-claude-code-plugins967—~993Automated safety check: PassApache-2.0
MCP Server Builderanthropics/skills180k62 repos~2.3kAutomated safety check: PassApache-2.0
MCP Server BuildershareAI-lab/learn-claude-code78k5 repos~1.2kAutomated safety check: PassMIT
MCP Integration for Pluginsanthropics/claude-plugins-official37k11 repos~3.1kAutomated safety check: PassApache-2.0
Fastmcp Client CLIPrefectHQ/fastmcp28k1 repos~823Automated safety check: PassApache-2.0
Crush Configurationcharmbracelet/crush29k—~3.7kAutomated safety check: PassCustom licence

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Categories

Questions about Serve

What does Serve do?

Wire a compiled rote pipeline up as an MCP tool so Claude can trigger the deployed workflow directly. Serve is an agent skill from ccplugins/awesome-claude-code-plugins. Wire a compiled rote pipeline up as an MCP tool so Claude can trigger the deployed workflow directly.

When should I use Serve?

Serve fits situations like: the deployed workflow directly; the user says register my compiled pipeline; serve my pipelines over MCP; trigger the workflow from Claude.

How do I install Serve in Claude Code?

Run `npx skills add ccplugins/awesome-claude-code-plugins --skill serve -a claude-code`. Or copy the skill folder (plugins/rote/skills/serve in ccplugins/awesome-claude-code-plugins) into .claude/skills/serve in your project. Claude Code loads it when a task matches its description.

How do I install Serve in Codex?

Run `npx skills add ccplugins/awesome-claude-code-plugins --skill serve -a codex`. Or copy the skill folder (plugins/rote/skills/serve in ccplugins/awesome-claude-code-plugins) into .agents/skills/serve in your project. Codex loads it when a task matches its description.

Can I use Serve in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ccplugins/awesome-claude-code-plugins --skill serve -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/serve, .gemini/skills/serve, .github/skills/serve and .opencode/skills/serve in your project.

What does Serve need to run?

Going by SKILL.md and its folder, Serve needs the command-line tools its instructions call (uvx, claude, python and wrangler). Our summary lists: Python 3.

Does Serve access the network?

SKILL.md names 1 domain. In commands or code: github.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Serve safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Serve use?

Serve is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Serve use?

About 993 tokens (SKILL.md is roughly 4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Serve?

Skills that share tags, products or a category with Serve: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MCP Integration for Plugins (anthropics/claude-plugins-official, 37k stars) and Fastmcp Client CLI (PrefectHQ/fastmcp, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Serve?

ccplugins (a GitHub organization) maintains it in ccplugins/awesome-claude-code-plugins, which has 967 GitHub stars. The repository holds 68 skills in this directory. The repository was last updated on August 12, 2026.

Source: ccplugins/awesome-claude-code-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.