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8 clients · secrets stay placeholders

JSON (mcpServers)Claude CodeCodexOpenCodeCursorVS CodeGemini CLIGoose

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

claude mcp add --transport http mackorn-cone-crusher https://mackorn.cn/ai/api/mcp.php

[mcp_servers.mackorn-cone-crusher]
url = "https://mackorn.cn/ai/api/mcp.php"

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "mackorn-cone-crusher": {
      "type": "remote",
      "url": "https://mackorn.cn/ai/api/mcp.php",
      "enabled": true
    }
  }
}

{
  "mcpServers": {
    "mackorn-cone-crusher": {
      "type": "http",
      "url": "https://mackorn.cn/ai/api/mcp.php"
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=mackorn-cone-crusher&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vbWFja29ybi5jbi9haS9hcGkvbWNwLnBocCJ9"
}

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

{
  "mcpServers": {
    "mackorn-cone-crusher": {
      "httpUrl": "https://mackorn.cn/ai/api/mcp.php"
    }
  }
}

extensions:
  "mackorn-cone-crusher":
    enabled: true
    name: "mackorn-cone-crusher"
    type: streamable_http
    uri: "https://mackorn.cn/ai/api/mcp.php"
    timeout: 300

Quality 79 / 100good

protocol75 · weight 25

warn
protocol.modernnewest supported version is 2024-11-05; 2026-07-28 not supported, older versions are deprecated until 2027-07-28
n/a
protocol.statelessonly applies to 2026-07-28 servers
pass
protocol.transportstreamable HTTP
n/a
protocol.list_ttlonly applies to 2026-07-28 servers

authorizationn/a · weight 15

n/a
auth.prm, auth.as_metadata, auth.cimdno remote uses OAuth
n/a
auth.secret_in_urlno templated URL

tool hygiene71 · weight 30

pass
tools.descriptionsevery tool has a description
pass
tools.description_lengthdescriptions are concise
pass
tools.schemasevery tool has an object input schema
fail
tools.annotationsno tool declares readOnlyHint or destructiveHint, so clients cannot tell safe calls from risky ones
fail
tools.directory_hintsno 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_costabout 2,367 tokens to load every tool
pass
tools.api_dumptools are not a one-to-one API dump

stability100 · weight 15

pass
stability.changesno tool changes in 30 days
pass
stability.rug_pullno tool changed its meaning under the same name

dependenciesn/a · weight 15

n/a
deps.known_vulns, deps.mcp_sdk_version, deps.resolvabledeps.dev does not know [email protected]

21 tools, about 2,367 tokens to load them all · tool set 608da9a391df · checked 2026-10-21 01:06 UTC

Tool changes

No tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 66 / 100

provenance85

liveness0

freshness100

hygiene100

+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. How it is computed.

Dependencies

[email protected] npmthis version is not known to the dependency resolver

Dependency graphs from deps.dev; advisories from OSV.dev, including the GitHub Advisory Database and the PyPI Advisory Database; all CC BY 4.0. The graph is what a clean install of this version resolves today; nothing was installed or run. How it is checked.

Endpoints

remote	auth	reachable	uptime 30d	p50	protocol	last ok
`https://mackorn.cn/ai/api/mcp.php` streamable-http	none	no (4 failures)	88%	2907 ms	2024-11-05	2026-10-14

package	registry	version	runtime	secrets
`mackorn-cone-crusher`	npm	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

Schemas: list_tools.

Similar MCP servers

Official server.json

{
  "name": "cn.mackorn/mackorn-cone-crusher",
  "title": "MACKORN Hydraulic Cone Crusher Selection",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "remotes": [
    {
      "url": "https://mackorn.cn/ai/api/mcp.php",
      "type": "streamable-http"
    }
  ],
  "version": "0.2.0",
  "packages": [
    {
      "version": "0.2.0",
      "transport": {
        "type": "stdio"
      },
      "identifier": "mackorn-cone-crusher",
      "registryType": "npm"
    }
  ],
  "repository": {
    "url": "https://github.com/LeifDai/MACKORN-hydraulic-cone-crusher",
    "source": "github"
  },
  "websiteUrl": "https://mackorn.cn/ai/",
  "description": "MACKORN hydraulic cone crusher selection and crushing-plant design. 21 tools, callable over HTTP."
}