# MACKORN Hydraulic Cone Crusher Selection

> MACKORN hydraulic cone crusher selection and crushing-plant design. 21 tools, callable over HTTP.

- name: cn.mackorn/mackorn-cone-crusher
- version: 0.2.0
- connection class: unknown (unknown)
- trust: 66/100
- quality: 79/100 (good)
- owner: not claimed
- descriptor: https://api.protogrid.dev/v1/servers/cn.mackorn%2Fmackorn-cone-crusher
- tools: https://api.protogrid.dev/v1/servers/cn.mackorn%2Fmackorn-cone-crusher/tools

**Not classified yet.** The remote endpoints have not been probed successfully, or the listing has nothing to connect to.

## Connection (mcpServers)

```json
{
  "mcpServers": {
    "mackorn-cone-crusher": {
      "type": "http",
      "url": "https://mackorn.cn/ai/api/mcp.php"
    }
  }
}
```


## Trust

- hygiene: 100
- liveness: 0
- freshness: 100
- provenance: 85
- drivers: +repository +dns-namespace +website -unreachable(4 failures) +updated-13d-ago
- Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed.

## Quality 79/100 (good)

### protocol: 75 (weight 25)

- warn `protocol.modern`: newest supported version is 2024-11-05; 2026-07-28 not supported, older versions are deprecated until 2027-07-28
- n/a `protocol.stateless`: only applies to 2026-07-28 servers
- pass `protocol.transport`: streamable HTTP
- n/a `protocol.list_ttl`: only applies to 2026-07-28 servers

### authorization: n/a (weight 15)

- n/a `auth.prm`, `auth.as_metadata`, `auth.cimd`: no remote uses OAuth
- n/a `auth.secret_in_url`: no templated URL

### tool hygiene: 71 (weight 30)

- pass `tools.descriptions`: every tool has a description
- pass `tools.description_length`: descriptions are concise
- pass `tools.schemas`: every tool has an object input schema
- fail `tools.annotations`: no tool declares readOnlyHint or destructiveHint, so clients cannot tell safe calls from risky ones
- fail `tools.directory_hints`: no tool declares all four of readOnlyHint, destructiveHint, idempotentHint and openWorldHint; missing: mackorn_grading_porosity (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); mackorn_cost_estimate (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); mackorn_distributor_eval (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); …
- pass `tools.token_cost`: about 2,367 tokens to load every tool
- pass `tools.api_dump`: tools are not a one-to-one API dump

### stability: 100 (weight 15)

- pass `stability.changes`: no tool changes in 30 days
- pass `stability.rug_pull`: no tool changed its meaning under the same name

### dependencies: n/a (weight 15)

- n/a `deps.known_vulns`, `deps.mcp_sdk_version`, `deps.resolvable`: deps.dev does not know mackorn-cone-crusher@0.2.0

- tools: 21, about 2,367 tokens to load them all
- tool set hash: 608da9a391df7de5bae56fb99f5bfcc9
- badge: [![protogrid quality](https://protogrid.dev/badge/cn.mackorn/mackorn-cone-crusher.svg)](https://protogrid.dev/servers/cn.mackorn/mackorn-cone-crusher)
- Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed.

### Tool changes

_No tool definition changes recorded._

## Dependencies

- npm mackorn-cone-crusher@0.2.0: unknown

Dependency graphs from deps.dev; advisories from OSV.dev, including the GitHub Advisory Database and the PyPI Advisory Database; all CC BY 4.0.

## Remotes

- https://mackorn.cn/ai/api/mcp.php (streamable-http, auth none, reachable false, uptime30d 0.875)

## Packages

- npm mackorn-cone-crusher@0.2.0

## Tools (21)

- `mackorn_calibrate`: 用现场实测筛析数据标定破碎函数参数 φ/γ/β 与啮合系数：有界网格+局部细化，返回拟合优度、逐点残差与可用性判断 | Calibrate breakage parameters on measured field data
- `mackorn_capacity_check`: 按机型+腔型+CSS 查产能区间、排矿口合规性与最大给料限制 | Capacity check for a given model/cavity/CSS
- `mackorn_cone_selection`: 圆锥破选型：按目标产能与最大给料给出候选机型排序、台数与功率 | Hydraulic cone crusher selection
- `mackorn_contact`: MACKORN 联系方式、代理招募与微信二维码（10 语言） | Contact details and partner programme
- `mackorn_cost_estimate`: 能耗与吨成本结构估算（装机功率/年耗电/kWh每吨/衬板吨成本公式）。本端点【不给价格】 | Energy consumption and per-ton cost structure (no pricing)
- `mackorn_crusher_curve`: 产品粒度曲线（Whiten 1972 稳态模型）：按给料 P80 与 CSS 算产品 P80/P50、逐级通过率、K1/K2 与 Bond 功耗 | Product size curve via Whiten (1972) steady-state model
- `mackorn_distributor_eval`: 经销商/代理商评估：三维 17 项打分 + 一票否决（涉制裁 / 信用不良） | Distributor and agent evaluation
- `mackorn_equipment_catalog`: 列出 MACKORN 全部机型与腔型（NH 9 型 + NS 4 型，9 种腔型代码） | List all MACKORN models and cavity types
- `mackorn_grading_porosity`: 料层孔隙率 φ 与最优配比窗口（粗50/中30/细20，最优 φ=0.28） | Bed porosity and optimal blend
- `mackorn_intel_watch`: 行业情报观测面：竞品动向/专利/标准/市场数据的固定观测项与检索纪律（含为什么看、看哪些源、搜什么词、多久看一次） | Industry intelligence watchlist and research discipline
- `mackorn_knowledge_update`: 知识入库校验：逐条检查 title/content/source_url，做可信度分级并返回可直接入库的记录。【远程端点只校验不写入】 | Knowledge entry validation and credibility grading (validate only, no write)
- `mackorn_market_intel`: 市场纵深五维评估框架（行业/技术/时效/经济/可操作）+ 加权打分与推进结论（不含价格） | Five-dimension market analysis framework and scoring
- `mackorn_market_stats`: 统计分析：描述统计/市场集中度/威布尔寿命拟合（B1/B10/B50） | Statistics: descriptive, concentration, Weibull
- `mackorn_mcfm_analysis`: 给料模数 MCFM 诊断（M=(A1+…+A7−7A8)/(100−A8)，最优窗口 4.0–4.5） | Feed gradation modulus (MCFM) diagnosis
- `mackorn_pdca_status`: 自我迭代 PDCA 状态（只读）：版本、指标、遗留项、框架说明。记录由本地服务端写入 | Self-iteration PDCA status (read-only)
- `mackorn_plant_design`: 破碎筛分整线配置：总破碎比→段数→各段粒度分配→粗碎档位→中/细碎圆锥破选型（含筛分与辅机骨架） | Crushing and screening plant design
- `mackorn_proposal`: 方案书生成：14 章标准结构（项目概况/设计依据/工艺流程/设备选择/技术参数/电气/环保/土建/供货范围/投资估算/实施建议/假设来源/风险/附件），输出 Markdown | 14-section proposal generator (Markdown)
- `mackorn_requirement_intake`: 客户需求表录入：文字解析→完整性分档（阻断/关键/建议/可选）→逐项追问话术→归一化工况→派生建议→年产量与矿山服务年限→初步选型 | Requirement form intake with gap analysis and follow-up questions
- `mackorn_selection_report`: 一键选型报告：把整线配置 + 圆锥破选型 + 能耗指标串成一份 Markdown（含假设与风险章节） | One-click selection report (Markdown)
- `mackorn_simulate_flowsheet`: 多段破碎+筛分流程仿真：逐段算产品 P80、筛下率、循环负荷与最终产品 P80 | Multi-stage crushing and screening flowsheet simulation
- `mackorn_wear_design`: 衬板磨损均匀度评估与多梯度分区硬度设计（H_i = H_base × k^i，带上限校验） | Liner wear uniformity and gradient hardness design