MCP MeasureMCP Measure

Index beobachtet

lian-chain-intelligence

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

Sollte ich dies verwenden

Qualität und Sicherheit

A
Qualität der Beschreibung
81%
Vollständigkeit des Schemas
90%
Qualität der Benennung
80%
Risiko der Vergiftung
100%
Übereinstimmung der Berechtigungen
100%
Einhaltung des Protokolls
100%

Befunde (3)

  • LOWTool 'intel_brief' description lacks action verbin intel_brief
  • LOWTool 'intel_tech_daily' description lacks action verbin intel_tech_daily
  • LOWTool 'intel_category' description lacks action verbin intel_category

Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.

Kontextkosten

~1,123Tokens (Tool-Definitionen)
~598 BTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (0.88% von 128k Kontext)

Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.

Installieren

Installation mit einem Klick

Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:

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

Remote-Endpunkte

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

Was es kann

Tool-Inventar

Tools (8)

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⚪intel_availability(entity, entity_id)

[v1.3.0] 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.

Eingabe-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)

[v1.3.0] 全链：timeline、delta_days、vs_prior（≈get_chain）。Full chain: timeline, delta_days, vs_prior.

Eingabe-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)

[v1.3.0] 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.

Eingabe-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)

[v1.3.0] 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.

Eingabe-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)

[v1.3.0] 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.

Eingabe-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)

[v1.3.0] 技术日报词矩阵，与 /tech-daily 同一批行。无 Key 只给公开前 8 条。Tech-word heat matrix, same rows as /tech-daily. No key: public top 8 only.

Eingabe-Schema

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

[v1.3.0] 单个品类的机会与供给。传 slug，与 /entity/{slug}.json 同一裁剪，不是实体列表。One category opportunity. Pass a slug. Same crop as /entity/{slug}.json. Not the entity index.

Eingabe-Schema

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

[v1.3.0] 已发布的链主倒逼。承接方不是定点供应商。公开档不给来源 URL。Published chain-master push. Receivers are not designated suppliers. Public tier hides source URLs.

Eingabe-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"
    }
  }
}

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