# CNKI-Enhanced-MCP

> CNKI-Enhanced-MCP — chengdsyj-studio-cnki-enhanced-mcp. Use this tool when you need to efficiently search and process Chinese academic literature, as it solves problems of information overload and manual data extraction by providing a natural language interface to filter and retrieve relevant metadata, full-text content, and citations from CNKI databases, with outputs including PDF/CAJ downloads and citation exports. It is ideal for research tasks requiring comprehensive access to Chinese scholarly articles and publications. This tool streamlines academic research workflows by automating literature searches and data collection.

Canonical page: https://skillsregistry.net/skills/chengdsyj-studio-cnki-enhanced-mcp  
JSON: https://api.skillsregistry.net/v1/skills/chengdsyj-studio-cnki-enhanced-mcp

## Description

Enables AI to search, filter, and process CNKI academic literature through natural language, including structured search, metadata retrieval, full-text reading, citation export, and PDF/CAJ download.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/asx7lbpf0g)
- **Repository:** <https://github.com/ChengDSYJ-Studio/CNKI-Enhanced-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": "chengdsyj-studio-cnki-enhanced-mcp"
    }
  }
}
```

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