zhupi-mcp
Agent-side MCP server for the zhupi review loop, enabling AI agents to submit documents, read annotations, and reply via GitHub.
README
<div align="center">
English · 中文
zhupi-mcp
The agent side of zhupi, as an MCP server.<br> zhupi is where a human reads and annotates AI-authored documents. This is the other end of that loop: the tools an agent uses to submit a document, read the annotations, and reply to each one.
Spec · Milestones · Backlog · zhupi (the app)
</div>
Status: Phase 1 shipped (two read-only tools)
Installable and usable. list_folders and read_comments are implemented and wired into the MCP config; 119 unit tests plus 41 real-machine assertions are green, run against live GitHub data.
Measured context saved versus the string of gh api calls it replaces: 7.1× for one folder, 3.9× across all open folders (41 KB → 5.8 KB). That was the headline reason to build this, and the number holds.
Not yet implemented: open_folder, lint_folder, audit_folders, reply_comment — see Phase 2/3 in MILESTONES.
One piece shipped earlier and is not part of the server: the route guard that refuses raw gh pr create against the folder repo. It lives in the review-loop skill and shipped first on purpose — see "What MCP does not fix" below.
Install:
{ "mcpServers": { "zhupi": { "command": "node", "args": ["<repo>/dist/index.js"] } } }
Run npm install && npm run build first. Authentication borrows the machine's existing gh; no separate PAT.
Where things stand: MILESTONES · OPEN-QUESTIONS
Why
The agent side of this loop already works. It lives in a ~/.claude/skills/review-loop/ skill: one 8KB prose file plus four bash scripts. It got hardened on 2026-07-28 after measuring what actually leaked — 3 of 8 submissions missed a required marker, 11 documents shipped without their translation pair. The conclusion was that prose reminders do not cure missed execution, only gates do, so the rules moved into scripts.
That fixed the rules. It did not fix three other things:
| The pain | |
|---|---|
| Cross-harness | A Claude Code skill only exists inside Claude Code. Every other agent runtime — Antigravity, Codex, the desktop app — cannot submit a document at all |
| Context cost of reading back | "Read the annotations" is a string of gh api calls plus the model parsing threads and inline positions by hand, every single time. Structured JSON collapses that to one call |
| Untyped inputs | Required fields live in prose. A missing one surfaces when a shell script dies halfway, not when the call is made |
What MCP does not fix
Worth saying plainly, because it is the obvious thing to assume: an MCP server does not stop an agent from bypassing it. The model can still shell out to gh pr create and skip every gate. Moving the logic from bash to TypeScript changes the implementation, not the routing.
What blocks the route is a PreToolUse hook that refuses raw gh pr create against the review repo. That is ten lines of config, it is independent of this repo, and it ships first (SPEC §7).
This distinction is the reason the spec exists. If you are considering the same move, decide which of the two problems you actually have.
Tool surface
Six tools; the two marked ✅ are shipped. Merging is deliberately not one of them — that is the human's click, in the app.
| Tool | What it does |
|---|---|
open_folder |
Submit a document: branch, commit, push, open the PR, weld in the backlink marker, verify it landed |
lint_folder |
Check house style before submitting |
audit_folders |
Sweep everything already open for gaps |
list_folders ✅ |
List folders, most-recently-active first, with counts and previews of what needs a look |
read_comments ✅ |
Read annotations as structured JSON, with authorship and answered computed server-side |
reply_comment |
Reply to one annotation, or post an overall comment |
How it works

The repo in the middle is the whole interface. Neither side calls the other; both talk to GitHub. That is why zhupi can be taken off at any time, and why this server can be swapped for a bash script without the human noticing.
Node + TypeScript, stdio transport, installed by absolute path — no global npm state. GitHub auth is borrowed from gh auth token rather than managing a second PAT.
Known limits
Honest list, in advance:
- The concurrency fix is a file lock, not a queue. A stdio MCP server is one process per session, not a shared daemon, so it cannot serialize across sessions on its own.
flockplus a throwaway worktree does the job; the mechanism is worth knowing before you assume otherwise. - The session-backlink marker is best-effort. It is detected by walking the process tree, which works only when the caller is a descendant of the host CLI. When it cannot be detected, nothing is embedded — a silently wrong id is worse than a missing button.
- The lint rewrite is where the risk is. The existing bash checks have accumulated fixes that a rewrite can silently drop. SPEC §5 documents each rule's actual behaviour (which drifts from its documentation in three places) and requires a differential test against the old scripts before shipping.
- Personal-scale by design. One reviewer, one review repo, no multi-tenant story.
Fork it
The repo name and local checkout path are configuration, not constants:
ZHUPI_REVIEW_REPO=<owner>/<repo> default: charliezong18/review
ZHUPI_REVIEW_PATH=<path> default: ~/Developer/review
The conventions the tools enforce — bilingual pairs, cross-link headers, the five-section PR body — are one person's house style. Fork and change them; they are rules in one module, not assumptions spread through the code.
License
MIT © Charlie Zong
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.