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_plant_design". 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_plant_design — How is a complete crushing and screening plant configured?

What it answers

按原矿最大粒度与目标产品粒度算总破碎比、推荐破碎段数、各段给料/产品/破碎比分配，并做中碎与细碎选型，给出筛分面积、皮带带宽与辅机配置。

Input parameters

Parameter	Type	Description
`target_tph`	number	目标成品处理量 t/h（必填）。
`max_feed_mm`	number	原矿最大给料粒度 mm（默认 500）。
`target_product_mm`	number	最终产品粒度 mm（默认 20）。
`ore`	string	矿石名称/硬度/含泥量备注。
`closed_circuit`	boolean	细碎段是否闭路（默认 true）。
`washing`	boolean	是否需要洗砂/污水处理系统（默认 false）。

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

Run via: local plugin

Input:

{
  "target_tph": 800,
  "max_feed_mm": 600,
  "target_product_mm": 20
}

Output (first fields):

Field	Value
`request.targetTph`	800
`request.maxFeedMm`	600
`request.productMm`	20
`request.ore`	null
`request.closedCircuit`	true
`request.washing`	false
`total_reduction_ratio`	30
`knowledge_check.available`	true
`knowledge_check.material`	null
`knowledge_check.compatibility`	[0 项]
`knowledge_check.known_error_guard`	[6 项]
`knowledge_check.warnings`	[1 项] ["[知识库] 未提供矿石名称 —— 无法给出腔型/衬板/段数提示，也无法查对标案例"]
`knowledge_check.sources`	[2 项] ["CW0001.1 错误库","XXAL1000.1 案例库"]
`knowledge_check.rule`	材料性质来自公开文献区间（S3）与 MACKORN 工程经验（S4），不取中点做分级以外的推断；查不到就返回 found:false，不猜。竞品案例仅作对标，不作为 MACKORN
`recommended_stages`	3
`stages_guide_note`	三段：粗碎 + 中碎 + 细碎（最常用）
`stage_plan`	[3 项]
`cone_crusher_coarse_side.model`	NH860

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_plant_design","arguments":{"target_tph":800,"max_feed_mm":600,"target_product_mm":20}}}'

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.