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Biogod2020

cnki-search

by Biogod2020

数据来自 search.cnki.com.cn 的公开检索接口,无需知网账号。检索范围是知网空间,不是 KNS 全部馆藏。

功能

工具

作用

search

按主题、篇名、关键词、全文或摘要检索;可限定作者、导师、年份、文献类型

get_record

根据检索得到的知网 / CDMD 链接读取摘要与学位信息

search 参数:

参数

取值

说明

query

字符串

检索词。仅查作者或导师时可为空

field

theme / title / keyword / content / summary

主题 / 篇名 / 关键词 / 全文 / 摘要

page

1–50

页码

author

字符串

作者

advisor

字符串

导师

year

2023

年份

kind

all / journal / thesis / phd / master

全部 / 期刊 / 博硕 / 博士 / 硕士

sort

relevance / date / downloads / cites

相关度 / 发表时间 / 下载 / 被引

已知题名时用 field=titlekeyword 按词拆分,容易混入不相关结果。

返回 statusok 为正常;blocked 为接口拒绝或校验页;error 为参数或网络错误。不要把 blocked 当成零结果。

Related MCP server: CNKI Search MCP Server

安装

请先让 Agent 阅读本仓库并按其中说明完成安装:

https://github.com/Biogod2020/cnki-search

需要本机已安装 uv(Python 3.12+)。Agent 读完后可用下面命令启动,无需事先 clone:

uvx --from git+https://github.com/Biogod2020/cnki-search.git cnki-search

进程在 stdio 上等待 MCP 宿主,没有交互提示。

开发与测试:

git clone https://github.com/Biogod2020/cnki-search.git
cd cnki-search
uv sync --extra dev
uv run pytest -m "not live"

联网回归:RUN_LIVE_CNKI=1 uv run pytest -m live -s

接入 MCP

把仓库链接交给 Agent,或把下面配置写入宿主。宿主会通过 uvx 拉取并运行。

{
  "mcpServers": {
    "cnki": {
      "command": "uvx",
      "args": [
        "--from",
        "git+https://github.com/Biogod2020/cnki-search.git",
        "cnki-search"
      ]
    }
  }
}

适用于 Claude、Cursor、Codex 及其他 MCP stdio 宿主。工具名:searchget_record

接入 DeepSeek Harness

dsh-bing-search 相同:由 @deepseek-ai/dsh-mcp-client 拉起本仓库的 stdio 服务。发现后的工具名为:

mcp__cnki__search
mcp__cnki__get_record

写入 cordis.yml 可用 examples/dsh.cordis.yml。写入 $DSH_HOME/profiles/<name>/cordis.patch.yml 时必须用 insert,否则 id 不存在会被静默跳过。见 examples/dsh.patch.yml

- insert:
    - id: mcp-cnki
      name: '@deepseek-ai/dsh-mcp-client'
      config:
        serverName: cnki
        transport: stdio
        command: uvx
        args:
          - --from
          - git+https://github.com/Biogod2020/cnki-search.git
          - cnki-search
        toolCallTimeoutMs: 30000
        failOnStartupError: true
        reconnect:
          enabled: true
          initialDelayMs: 500
          maxDelayMs: 30000
          maxAttempts: 10

调用示例

{
  "query": "SCA3发病年龄的临床预测模型构建与罕见变异关联研究",
  "field": "title"
}
{
  "status": "ok",
  "provider": "cnki",
  "returned_count": 1,
  "records": [
    {
      "title": "SCA3发病年龄的临床预测模型构建与罕见变异关联研究",
      "url": "https://cdmd.cnki.com.cn/Article/CDMD-10533-1025564694.htm",
      "authors": "彭林柳",
      "year": "2023",
      "kind": "博士论文"
    }
  ]
}
{
  "query": "空间转录组",
  "field": "title",
  "kind": "thesis",
  "sort": "date"
}

Python:

from cnki_scholar import search_cnki, get_record

hits = search_cnki("影像组学 阿尔茨海默病", field="title", kind="thesis")
detail = get_record(hits.records[0].url)

说明

  • 覆盖范围为知网空间,新入库学位论文可能检索不到。

  • 期刊可用接口的文献类型参数;博硕类型在解析后过滤。

  • 列表页结构若变更,解析会失效。

  • 文献版权归知网及原作者。请遵守知网使用条款与所在机构规定。

许可

MIT

Available Tools

2 tools
get_recordGet CNKI record metadataA

Fetch metadata from a 知网 / CDMD / cnki.com.cn record page. Not a PDF download.

Args: url: A CNKI Space or CDMD detail URL returned by search.

ParametersJSON Schema
NameRequiredDescriptionDefault
urlYes

Output Schema

ParametersJSON Schema
NameRequiredDescription
urlYes
yearNo
errorNo
titleNo
degreeNo
statusYes
abstractNo
providerNo
institutionNo

TDQS

A4.2/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It discloses the read-only nature ('Fetch metadata') and what it does not do ('Not a PDF download'), but lacks detail on return format, error behavior, or authentication. This is a moderate level of transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is brief: a one-line purpose, a negative clarification, and one-line parameter explanation. Every sentence adds value and it is front-loaded with the main purpose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

This is a simple one-parameter get tool. An output schema exists (not shown), so return value explanation is not required. The description covers the parameter's format and source, and the 'Not a PDF' note prevents a common misuse. It is complete enough for a basic fetch operation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema only provides a 'url' string with no description. The description adds meaning by specifying 'A CNKI Space or CDMD detail URL returned by search', clarifying the required format and provenance. With 0% schema coverage, this compensation is valuable.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states 'Fetch metadata from a 知网 / CDMD / cnki.com.cn record page' with a specific verb and resource. It also distinguishes itself from PDF download and ties the input URL to a search result, clearly separating it from the sibling 'search' tool.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It explicitly mentions the URL must be 'returned by search', implying a workflow where search is used first. It also warns 'Not a PDF download', which is an exclusion. However, it does not explicitly name the alternative or state when not to use, so slightly shy of full guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. 2 tool updatesv0.1.0
    • First observedget_record
    • First observedsearch

TDQS

A4.2/5.0
Disambiguation5/5

The two tools are distinctly separated: 'search' performs queries across metadata fields, while 'get_record' fetches details from a specific URL returned by search. There is no functional overlap between them.

Naming Consistency5/5

Both tool names follow a clear lowercase_with_underscores convention and use verb-first naming ('search', 'get_record'). The pattern is consistent and predictable.

Tool Count3/5

With only two tools, the server is minimal. The scope (searching and retrieving CNKI records) is narrow enough to justify this count, but it borders on being too thin for a productive search API.

Completeness4/5

The server covers the essential metadata search and record retrieval workflows. It lacks features like citation export or full-text download, but for its stated purpose of metadata access, the coverage is adequate with only minor gaps.

Maintenance

ActivityMaintained
ResponsivenessNo issues

Resources

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