MCP MeasureMCP Measure

index observed

lian-chain-intelligence

Query tech-industry-market chain transmission and entity status.

Should I use this

Quality & Safety

B
Description quality
75%
Schema completeness
90%
Naming quality
80%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Findings (7)

  • LOWTool 'intel_brief' description lacks action verbin intel_brief
  • LOWTool 'intel_tech_daily' description lacks action verbin intel_tech_daily
  • LOWTool 'intel_global_race' description lacks action verbin intel_global_race
  • LOWTool 'intel_tech_launch' description lacks action verbin intel_tech_launch
  • LOWTool 'intel_category_opportunity' description lacks action verbin intel_category_opportunity
  • LOWTool 'intel_category_supply' description lacks action verbin intel_category_supply
  • LOWTool 'intel_category_demand_pull' description lacks action verbin intel_category_demand_pull

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~1,925Tokens (tool definitions)
~559 BTypical response size
Moderate attention impact (1.50% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

{
  "mcpServers": {
    "lian-chain-intelligence": {
      "url": "https://lian.yisuncloud.com/mcp"
    }
  }
}

Remote endpoints

https://lian.yisuncloud.com/mcpstreamable-http

What it can do

Tool inventory

Tools (15)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
⚪intel_availability(entity, entity_id)

[v1.5.1] 先查：available_now、coverage、requires_trigger。建议再调 chain/signal/brief。Check coverage status first: available_now, coverage, requires_trigger. Then chain/signal/brief.

Input Schema

{
  "type": "object",
  "properties": {
    "entity": {
      "type": "string",
      "description": "实体名，如 OpenAI、华为、台积电"
    },
    "entity_id": {
      "type": "string",
      "description": "如 ent_openai；与 entity 二选一或并用"
    }
  }
}
⚪intel_chain(entity, entity_id)

[v1.5.1] 全链：timeline、delta_days、vs_prior（≈get_chain）。需 Key。Full chain: timeline, delta_days, vs_prior. Requires key.

Input Schema

{
  "type": "object",
  "properties": {
    "entity": {
      "type": "string",
      "description": "实体名，如 OpenAI、华为、台积电"
    },
    "entity_id": {
      "type": "string",
      "description": "如 ent_openai；与 entity 二选一或并用"
    }
  }
}
⚪intel_signal(entity, entity_id, window)

[v1.5.1] 规则缺口（≈list_signals）：落地、商业化、技术，另有链主倒逼无点名承接、海外有卖国内供给空。Rule gaps: landing, commercialization, tech, plus chain-master with no named receiver, and overseas sales with empty China supply.

Input Schema

{
  "type": "object",
  "properties": {
    "entity": {
      "type": "string",
      "description": "实体名，如 OpenAI、华为、台积电"
    },
    "entity_id": {
      "type": "string",
      "description": "如 ent_openai；与 entity 二选一或并用"
    },
    "window": {
      "type": "number",
      "description": "近窗天数 7–90"
    }
  }
}
⚪intel_heal(entity, entity_id, window)

[v1.5.1] 和本站上次快照比，缺口类型这次没了、还在、或新出现（healed / persistent / new）。会写下这次快照。Compare gap types with this site's last snapshot: gone, still here, or new. Writes this snapshot.

Input Schema

{
  "type": "object",
  "properties": {
    "entity": {
      "type": "string",
      "description": "实体名，如 OpenAI、华为、台积电"
    },
    "entity_id": {
      "type": "string",
      "description": "如 ent_openai；与 entity 二选一或并用"
    },
    "window": {
      "type": "number",
      "description": "近窗天数 7–90"
    }
  }
}
⚪intel_brief(entity, entity_id, window, heal)

[v1.5.1] 规则模板拼的缺口组合：落地、商业化、技术，以及链主、跨境，哪几条在。不是大模型。Template of which gap combination is present. Not an LLM.

Input Schema

{
  "type": "object",
  "properties": {
    "entity": {
      "type": "string",
      "description": "实体名，如 OpenAI、华为、台积电"
    },
    "entity_id": {
      "type": "string",
      "description": "如 ent_openai；与 entity 二选一或并用"
    },
    "window": {
      "type": "number",
      "description": "近窗天数 7–90"
    },
    "heal": {
      "type": "string",
      "description": "传 0 可跳过愈合快照写入"
    }
  }
}
⚪intel_tech_daily(date)

[v1.5.1] 技术日报词矩阵，与 /tech-daily 同一批行。公开/免费只亮前 2 条，壁垒全表。Tech-word heat matrix. Public/free: top 2; pro: full.

Input Schema

{
  "type": "object",
  "properties": {
    "date": {
      "type": "string",
      "description": "Snapshot date YYYY-MM-DD. Omit for today."
    }
  }
}
⚪intel_global_race(date)

[v1.5.1] 全球竞争对位（国内粗码×国外粗码×阶段差），与 /global-race 同裁。公开/免费前 2 条且无来源 URL。Global race matrix. Public/free: top 2, no source URLs.

Input Schema

{
  "type": "object",
  "properties": {
    "date": {
      "type": "string",
      "description": "Snapshot date YYYY-MM-DD. Omit for today."
    }
  }
}
⚪intel_tech_launch(date, category)

[v1.5.1] 技术启动（开放许可/转化动作），与 /tech-launch 同裁。公开/免费前 2 条且无来源 URL。Tech launch signals. Public/free: top 2, no source URLs.

Input Schema

{
  "type": "object",
  "properties": {
    "date": {
      "type": "string",
      "description": "Snapshot date YYYY-MM-DD. Omit for today."
    },
    "category": {
      "type": "string",
      "description": "Optional category id/slug filter"
    }
  }
}
⚪intel_demand(list, entity, entity_id, slug)

[v1.5.1] 需求倒逼（品类匿名 signals/chains）。list=1 列实体；或传 entity/slug。公开前 3 条 signal、无 chains。Demand-pull. list=1 or entity. Public: 3 signals, no chains.

Input Schema

{
  "type": "object",
  "properties": {
    "list": {
      "type": "boolean",
      "description": "true=只列有需求倒逼的 entity_ids"
    },
    "entity": {
      "type": "string",
      "description": "品类 slug/id，如 portable_power"
    },
    "entity_id": {
      "type": "string",
      "description": "Alias of entity"
    },
    "slug": {
      "type": "string",
      "description": "Alias of entity"
    }
  }
}
⚪intel_category(slug, category)

[v1.5.1] 品类全包（肥）。优先用原子工具降 token：intel_category_opportunity / _supply / _demand_pull / _migration。Full category pack. Prefer atomic siblings to cut tokens.

Input Schema

{
  "type": "object",
  "properties": {
    "slug": {
      "type": "string",
      "description": "Category slug, e.g. optical_module"
    },
    "category": {
      "type": "string",
      "description": "Alias of slug"
    }
  }
}
⚪intel_category_opportunity(slug, category)

[v1.5.1] L-153a 原子：只出品类机会面（海外/价差/切入点等），已按档裁剪。Atomic: opportunity slice only.

Input Schema

{
  "type": "object",
  "properties": {
    "slug": {
      "type": "string",
      "description": "Category slug, e.g. optical_module"
    },
    "category": {
      "type": "string",
      "description": "Alias of slug"
    }
  }
}
⚪intel_category_supply(slug, category)

[v1.5.1] L-153a 原子：只出品类供给（整机/零部件示意），已按档裁剪。Atomic: supply slice only.

Input Schema

{
  "type": "object",
  "properties": {
    "slug": {
      "type": "string",
      "description": "Category slug"
    },
    "category": {
      "type": "string",
      "description": "Alias of slug"
    }
  }
}
⚪intel_category_demand_pull(slug, category)

[v1.5.1] L-153a 原子：只出需求倒逼段（signals/chains），公开无 chains。Atomic: demand_pull slice only.

Input Schema

{
  "type": "object",
  "properties": {
    "slug": {
      "type": "string",
      "description": "Category slug"
    },
    "category": {
      "type": "string",
      "description": "Alias of slug"
    }
  }
}
⚪intel_category_migration(slug, category)

[v1.5.1] L-153a 原子：技术迁移层。非壁垒仅标题示意/锁定；全量需壁垒。Atomic: tech_migration. Non-pro: teaser/locked only.

Input Schema

{
  "type": "object",
  "properties": {
    "slug": {
      "type": "string",
      "description": "Category slug"
    },
    "category": {
      "type": "string",
      "description": "Alias of slug"
    }
  }
}
⚪intel_chain_master(category, entity, entity_id)

[v1.5.1] 已发布的链主倒逼。承接方不是定点供应商。公开/免费档不给来源 URL。Published chain-master push. Public/free tiers hide source URLs.

Input Schema

{
  "type": "object",
  "properties": {
    "category": {
      "type": "string",
      "description": "Category slug, e.g. robot_joint"
    },
    "entity": {
      "type": "string",
      "description": "Chain-master name or slug, e.g. 特斯拉"
    },
    "entity_id": {
      "type": "string",
      "description": "e.g. ent_tesla"
    }
  }
}

Community

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Evidence

Recent observations

verifiedversion not recorded15 tools
verifiedversion not recorded8 tools