
junai Pipeline MCP
io.github.saajunaidPublished by GitHub account saajunaidv0.1.1Updated Oct 24, 2026
Agentic pipeline orchestration MCP server for AI-driven development workflows.
Overview
Runs an agentic development pipeline locally, planning features, implementing them phase by phase, and writing session handoff notes.
- What you can do
- An agentic pipeline orchestration server for AI-driven development workflows. It supports phased, test-driven feature planning, phase-by-phase implementation with commits, cross-vendor review of diffs, and session handoff documents. It also provides a layered memory model and hooks that guard against secret or destructive writes.
- When to use it
- Use it when you want an AI assistant to carry a software feature from plan through implementation and review inside a repository, and to resume work across sessions without re-discovery.
- Requirements
- Runs as a local process on the user's machine, installed from the PyPI package junai-mcp over stdio. It needs Python 3.11 or later on PATH and Git for repository state. Optional environment variables JUNAI_WORKSPACE_ROOT and PIPELINE_STATE_PATH set the workspace root and pipeline state file. An API key for DeepSeek or GLM is optional and only used for cross-vendor review.
Installation
In SourceWeft
- Open junai Pipeline MCP in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
README
caddis — a Claude Code harness
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
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
Then, in a Claude Code session, confirm it actually loaded:
If that prints a version, you are installed. From there, the shortest path to seeing what caddis is for:
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)
Then, in any repo:
A normal working loop looks like:
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 incaddis-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:
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
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.
Source: README.md at commit 2a72043
Tools
0Version history
1- v0.1.1LatestSep 16, 2026
Score
50% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
- Reached in the last 30 days25 pts
Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.
- Auth declared10 pts
Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.
- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
- License10 pts