# cnki-mcp

> Use this tool when you need to access Chinese academic resources and organize them efficiently. It solves problems of searching, downloading, and citing Chinese scholarly articles by integrating CNKI search, PDF download, and automatic import into Zotero. The tool takes search queries as input and outputs organized references with attached PDFs, ideal for research and academic writing projects.

Canonical page: https://skillsregistry.net/skills/wuruiqi-cnki-mcp  
JSON: https://api.skillsregistry.net/v1/skills/wuruiqi-cnki-mcp

## Description

Enables AI assistants to search CNKI (China National Knowledge Infrastructure), download PDFs, and import them into Zotero with automatic PDF attachment.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rlt441103o)
- **Repository:** <https://github.com/wuruiqi/cnki-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": "wuruiqi-cnki-mcp"
    }
  }
}
```

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

---
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