CNKI MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
| logging | {} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| extensions | {
"io.modelcontextprotocol/ui": {}
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| search_cnkiA | 搜索知网(CNKI)论文。支持主题、关键词、篇名、作者、作者单位等多种搜索类型，支持分页和排序。每次建议搜索 1-3 页，间隔 2-3 秒。 |
| get_paper_detailA | 获取知网论文的详细信息：标题、作者、机构、摘要、关键词、DOI、来源期刊、被引次数、下载次数等。传入论文详情页 URL。 |
| find_best_matchA | 根据论文标题在知网中查找最匹配的论文。使用字符相似度算法匹配第一页搜索结果中与输入标题最相似的论文。 |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
| get_search_types | 返回所有可用的搜索类型及其别名 |
| get_status | 返回服务状态 |
TDQS
Scored across 3 tools
Each tool has a clearly distinct purpose: search_cnki for general querying, get_paper_detail for retrieving metadata from a URL, and find_best_match for fuzzy title matching. There is no overlap in their primary functions, making selection unambiguous.
All tool names follow a consistent verb_noun pattern (search_cnki, get_paper_detail, find_best_match) with snake_case and action-first naming. The verbs clearly reflect the operation, and the naming style is uniform.
With 3 tools, the server is well-scoped for its purpose of searching and retrieving CNKI papers. Each tool serves a distinct need without redundancy, fitting within the ideal 3-15 range.
The tool set covers the core workflow: search for papers, retrieve details, and match specific titles. A minor gap is the lack of a direct way to browse by subject or export results, but the existing tools handle the main research workflow effectively.