# zhupi-mcp

> zhupi-mcp — charliezong18-zhupi-mcp. Use this tool when you need to integrate AI agents with the zhupi review loop, enabling them to submit and retrieve documents, and interact via GitHub. It solves problems of automated document processing and annotation by providing a server-side interface for AI agents. The zhupi-mcp tool accepts document submissions and annotation requests as inputs and returns annotated documents and replies as outputs.

Canonical page: https://skillsregistry.net/skills/charliezong18-zhupi-mcp  
JSON: https://api.skillsregistry.net/v1/skills/charliezong18-zhupi-mcp

## Description

Agent-side MCP server for the zhupi review loop, enabling AI agents to submit documents, read annotations, and reply via GitHub.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mikimci6y2)
- **Repository:** <https://github.com/charliezong18/menxia-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "charliezong18-zhupi-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/charliezong18-zhupi-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/charliezong18-zhupi-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt