How do I call this tool?

POST a JSON-RPC 2.29 tools/call request to https://mackorn.cn/ai/api/mcp.php with name "mackorn_contact". No installation is required.

Is the model based on published literature?

Yes. The particle-size and flow models are independently implemented from Whiten (1972) and Bond (1952); the implementation is MIT-licensed and auditable. Vendor data comes from MACKORN parameter tables. Every number carries its source; unknown values return null rather than an estimate.

mackorn_contact — How do I contact MACKORN?

What it answers

返回 MACKORN 的联系方式与全球招募信息：公司名称、地址（中英文）、三个商务电话与邮箱、官网、服务时间，以及代理商/选人招募条件。

Input parameters

Parameter	Type	Description
`language`	string	输出语言。支持 zh-CN/en/es/pt-BR/ru/ar/fr/de/ja/id；公司名、地址、电话、邮箱、网址一律原文保留不翻译。
`include_partner`	boolean	是否包含代理商/人才招募段落（默认 true）。
`include_triggers`	boolean	是否附带多语言触发词覆盖报告（自检用，默认 false）。

Worked example (real output, not a mock-up)

Run via: local plugin

Input:

{
  "language": "en"
}

Output (first fields):

Field	Value
`block`	## Contact Us Shanghai Mackorn Minerals Co., Ltd. (MACKORN) - Address: No.33 Qianjia
`language_used`	en
`company.name_cn`	上海美矿机械股份有限公司
`company.name_en`	Shanghai Mackorn Minerals Co., Ltd.
`company.short_cn`	MACKORN 美矿
`company.short_en`	MACKORN
`company.website`	mackorn.cn
`company.website_url`	https://mackorn.cn
`company.address_cn`	江苏省苏州市太仓浏河钱江路 33 号
`company.address_en`	No.33 Qianjiang Road, Liuhe, Taicang, Suzhou, China
`company.service_time`	GMT+8（9:00-17:30）
`company.service_time_en`	GMT+8 (09:00-17:30)
`contacts`	[3 项]
`wechat_qr.label_cn`	微信公众号
`wechat_qr.label_en`	WeChat Official Account
`wechat_qr.asset`	assets/mackorn-wechat-qr.jpg
`wechat_qr.note_cn`	扫码关注公众号，可直接留言提问
`wechat_qr.note_en`	Scan to follow our WeChat official account and leave your question

How to call it

POST a JSON-RPC 2.0 request to the public MCP endpoint — no installation, no API key:

curl -s https://mackorn.cn/ai/api/mcp.php \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/call",
       "params":{"name":"mackorn_contact","arguments":{"language":"en"}}}'

Endpoint: https://mackorn.cn/ai/api/mcp.php · Registry: cn.mackorn/mackorn-cone-crusher · npm: mackorn-cone-crusher

Data sources and limits

Particle-size and flow models are independently implemented from published literature (Whiten 1972; Bond 1952). Vendor parameters come from MACKORN NH/NS tables. Every output carries assumptions[] and warnings[]; unknown values are returned as null, never estimated. Literature parameters must be calibrated against on-site sieve data before use in a formal proposal.

A hydraulic cone crusher is a secondary/tertiary machine: feed above roughly 350 mm is refused.