MCP MeasureMCP Measure

索引已觀測

VISEON Ask

VISEON's Schema.org knowledge graph: products, services, people, FAQs and terms, from viseon.io

我該用這個嗎

品質與安全性

A
說明品質
88%
結構描述完整度
88%
命名品質
96%
汙染風險
100%
權限相符程度
100%
協定合規性
100%

根據工具定義與協定合規性的自動化分析。

上下文成本

~590Token（工具定義）
~1.1 KB典型回應大小
極小的注意力影響（128k 上下文的 0.46%）

這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高，可用於其他工作的注意力就越少。

安裝

一鍵安裝

將以下內容加入你的 `claude_desktop_config.json` 檔案：

{
  "mcpServers": {
    "semantic-intelligence": {
      "url": "https://viseon.io/mcp"
    }
  }
}

遠端端點

https://viseon.io/mcpstreamable-http

它能做什麼

工具清單

工具（5）

🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢get_entity(url)

Get complete schema.org entity data by URL

輸入結構描述

{
  "type": "object",
  "properties": {
    "url": {
      "type": "string",
      "description": "Full URL of the entity"
    }
  },
  "required": [
    "url"
  ]
}

輸出結構描述

{
  "type": "object",
  "additionalProperties": true
}
🟢query_relationships(subject, predicate)

Find entities connected to a subject

輸入結構描述

{
  "type": "object",
  "properties": {
    "subject": {
      "type": "string"
    },
    "predicate": {
      "type": "string"
    }
  },
  "required": [
    "subject"
  ]
}

輸出結構描述

{
  "type": "object",
  "properties": {
    "items": {
      "type": "array",
      "items": {
        "type": "object"
      }
    },
    "count": {
      "type": "integer"
    }
  },
  "required": [
    "items",
    "count"
  ]
}
🟢find_by_type(type)

Find all entities of a specific schema.org type

輸入結構描述

{
  "type": "object",
  "properties": {
    "type": {
      "type": "string"
    }
  },
  "required": [
    "type"
  ]
}

輸出結構描述

{
  "type": "object",
  "properties": {
    "items": {
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "count": {
      "type": "integer"
    }
  },
  "required": [
    "items",
    "count"
  ]
}
🟢search_content(query)

Full-text search across graph

輸入結構描述

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string"
    }
  },
  "required": [
    "query"
  ]
}

輸出結構描述

{
  "type": "object",
  "properties": {
    "items": {
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "count": {
      "type": "integer"
    }
  },
  "required": [
    "items",
    "count"
  ]
}
🟢fuzzy_find_and_traverse(query, type, limit, weights)

Find and rank schema.org entities from natural language. Returns bounded entity context with relationship IDs; use get_entity for full detail.

輸入結構描述

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "Search terms (e.g., \"AI optimisation services\", \"schema markup articles\")"
    },
    "type": {
      "type": "string",
      "description": "Optional: filter by entity type (Organization, Service, Article, Person, WebPage, Question)"
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 10,
      "default": 5,
      "description": "Optional: maximum ranked entities to return (default 5, maximum 10)"
    },
    "weights": {
      "type": "object",
      "description": "Optional: Custom weight multipliers for ranking",
      "properties": {
        "predicates": {
          "type": "object",
          "description": "Predicate weight multipliers (e.g., {\"name\": 3.0, \"about\": 1.5})"
        },
        "entityTypes": {
          "type": "object",
          "description": "Entity type multipliers (e.g., {\"Service\": 2.0, \"Article\": 1.0, \"Question\": 2.0})"
        }
      }
    }
  },
  "required": [
    "query"
  ]
}

輸出結構描述

{
  "type": "object",
  "properties": {
    "items": {
      "type": "array",
      "items": {
        "type": "object"
      }
    },
    "count": {
      "type": "integer"
    }
  },
  "required": [
    "items",
    "count"
  ]
}

社群

為此伺服器評分

證據

近期觀測

已驗證未記錄版本5 個工具