junai Pipeline MCP

io.github.saajunaid由 GitHub 帳號 saajunaid 發布v0.1.1更新於 Oct 24, 2026

Agentic pipeline orchestration MCP server for AI-driven development workflows.

概覽

AI 產生的概覽

在本機執行代理式開發流程,規劃功能、依階段實作,並產生工作階段交接記錄。

可以做什麼
這是一個面向 AI 驅動開發工作流程的代理式流程編排伺服器。它支援分階段、測試驅動的功能規劃,依階段實作並逐階段提交,對程式碼差異進行跨廠商審查,並產生工作階段交接文件。它也提供分層記憶模型,以及防止寫入密鑰或執行破壞性操作的鉤子。
適用情境
當你希望 AI 助理在程式碼儲存庫中,把一項軟體功能從規劃推進到實作與審查,並在不同工作階段之間無須重新摸索即可繼續時,可以使用它。
執行需求
以本機程序在使用者機器上執行,透過 stdio 從 PyPI 套件 junai-mcp 安裝。需要 PATH 中有 Python 3.11 或更新版本,以及用來讀取儲存庫狀態的 Git。選用環境變數 JUNAI_WORKSPACE_ROOT 與 PIPELINE_STATE_PATH 分別設定工作區根目錄與流程狀態檔。DeepSeek 或 GLM 的 API 金鑰為選用,僅用於跨廠商審查。
安裝前請注意
此伺服器會寫入儲存庫,包括計畫檔、狀態檔、提交與推送,並可能執行會修改檔案的鉤子。設定選用 API 金鑰後,它可能把程式碼差異傳送給其他廠商的模型進行跨審查。執行發佈類指令前,請先確認它將提交或推送的內容。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 junai Pipeline MCP,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

caddis — a Claude Code harness

[License: MIT]

Browse every command, skill, agent and hook -> saajunaid.github.io/caddis-plugin — the reference site, rebuilt on every publish.

caddis is a Claude Code harness — a plugin (plus a shared pool of skills, subagents, slash-commands, and hooks) that makes a single Claude Code session dramatically more capable and much harder to derail. It's agent-agnostic: the same pool is exported to other AI CLIs (Codex, Antigravity, Copilot), and CLAUDE.md↔AGENTS.md are mirrors so every agent reads the same conventions.

Before you start

You needWhy
Claude Code, installed and signed incaddis is a plugin for it
Python 3.11+ on PATHthe hooks and the cross-review tool are Python
Gitseveral commands read repository state
(optional) an API key for DeepSeek or GLMonly for cross-vendor review and the OSS lanes

Honest about the platform: caddis is developed and used daily on Windows with PowerShell. The hooks are pure Python and cross-platform, and the skills, commands and agents are plain markdown that work anywhere — but some launchers ship as both .ps1 and .sh, the deployment skill is Windows-specific, and the publishing machinery (sync.ps1) is PowerShell-only. Nothing here is hostile to macOS or Linux; it is simply less travelled, so expect rough edges and please report them.

Your first five minutes

bash
claude plugin marketplace add saajunaid/caddis-pluginclaude plugin install caddis@caddis

Then, in a Claude Code session, confirm it actually loaded:

/caddis:version

If that prints a version, you are installed. From there, the shortest path to seeing what caddis is for:

Try thisWhat it does
/caddis:feature-plan add CSV exportwrites a phased, TDD-structured plan to .caddis/plans/ — the durable spine the rest of the harness reads
/caddis:implement <plan>executes that plan phase by phase, committing each, and stops only at a real boundary
/caddis:cross-reviewhas a different vendor's model review your diff, because a same-vendor reviewer shares your blind spots
/caddis:handoffwrites the resume doc, so the next session starts with zero re-discovery

Everything else is optional. If you only ever use feature-plan → implement → cross-review, you have most of the value.

This repository is the published marketplace mirror: it hosts the caddis and caddis-extras Claude Code plugins, the portable per-harness bundles under bundles/, and the shared pool. It is generated and pushed by the caddis authoring repo's exporter — issues are welcome here, but code changes land upstream and are synced in.


Install (Claude Code)

bash
# 1. Register this repo as a plugin marketplace (once)claude plugin marketplace add saajunaid/caddis-plugin
# 2. Install the core plugin (always-on, lean context)claude plugin install caddis@caddis
# 3. (optional) Add the long-tail skill library — cloud/data/media/etc. Disabled by default,#    so it costs zero always-on context until you enable it.claude plugin install caddis-extras@caddis

Then, in any repo:

/caddis:setup-project-ai     # deploy the harness into the project

A normal working loop looks like:

/feature-plan      # (or /prd first) → writes .caddis/plans/<slug>.md, the durable spine/implement         # executes the plan phase-by-phase, TDD, commit per phase/ship              # express lane: commit → push → CI (hotfixes); feature work: /ship-pr then /ship-merge/handoff           # ALWAYS end a session with this — writes the resume doc

The one habit that matters most: end every session with /handoff. It writes .caddis/relay.md, which is re-injected automatically at the next session start — you resume with zero re-discovery instead of a cold, forgetful session.

See USERGUIDE.md for the full command/skill/hook reference and the mental models.


What you get

  • Slash-commands — /feature-plan, /prd, /implement, /tdd, /ship · /ship-pr · /ship-merge, /handoff, /kb, /digress · /resume, /cross-review, /usage-review, /mermaid-db · /excalidraw-db, /setup-project-ai, /migrate-dir.
  • Subagents — lean, own-context helpers: anchor (evidence-first verification), code-reviewer, preflight (plan-vs-codebase validation), tester, debug, codebase-audit, security-analyst, data-engineer, sql-expert, knowledge-transfer.
  • A four-layer memory model — session relay (relay.md), automatic Dream Memory (memory.jsonl), a per-repo knowledge base (.caddis/kb/ + DOC-MAP.md), and cross-repo memory.
  • Hooks & safety — a PreToolUse guard for secret/destructive writes, auto-lint on edit, and the SessionStart/Stop hooks behind relay + memory.
  • Tiered skills — the core dev set ships in caddis; the long tail (cloud, data, media, productivity) lives in caddis-extras, off by default.

Installing outside Claude Code (Codex, Antigravity, …)

The knowledge layer (skills + AGENTS.md conventions) works in any harness. Per-harness bundles are published under bundles/ and installed with caddis-init:

bash
# from a checkout of this repo (the installer ships in plugin/scripts/)python plugin/scripts/claudster_init.py --target codex        --dest /path/to/projectpython plugin/scripts/claudster_init.py --target antigravity  --dest /path/to/project

Safe by design: a sha256 manifest tracks what the installer wrote; re-runs update only unmodified files, and anything you edited locally is reported as a conflict, never overwritten.


Repo layout

PathWhat it is
.claude-plugin/marketplace.jsonThe marketplace manifest (caddis + caddis-extras)
plugin/The core caddis Claude Code plugin (agents, commands, hooks, core skills)
plugin-extras/The caddis-extras skill library (disabled by default)
bundles/Portable per-harness exports (codex, antigravity) for caddis-init
.github/The shared pool: skills, agents, prompts, instructions, tools
sync.ps1, export_runtime_resources.py, validate_pool.pyThe build/sync machinery

A note on names

caddis was previously published as claudster (and, before that, this repo hosted the junai Copilot pipeline — see the pre-1.2 entries in CHANGELOG.md). Repos set up under the old name have a .claudster/ artifact dir; everything reads both .caddis/ and .claudster/ and writes where the repo already lives, so nothing breaks. Run /caddis:migrate-dir when you want a repo converted. The ~/.claudster/ user scope (keys, install records) is permanent.


License

MIT. The published plugin bundles (caddis / caddis-extras) carry the same license in their manifests.

來源:README.md,提交 2a72043

工具

0
SourceWeft 尚未在沙箱中啟動過該軟體包,因此其工具未知。

版本歷史

1
  1. v0.1.1最新Sep 16, 2026

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