Content Intelligence API

9 MCP tools: extract, analyze, research, compare, monitor, brief. Pay-per-call x402 or subscribe.

使うべきか

品質と安全性

A
説明の品質
98%
スキーマの完全性
97%
命名の品質
84%
ポイズニングのリスク
100%
権限の一致
100%
プロトコルへの準拠
100%

ツール定義とプロトコルへの準拠に関する自動分析に基づいています。

コンテキストコスト

~1,065トークン数(ツール定義)
~965 B一般的なレスポンスサイズ
注意への影響は中程度(128k コンテキストの 0.83%)

これは、サーバーのツールがモデルのコンテキストに読み込まれるたびに消費されるおおよそのトークン数です。数が多いほど、ほかのタスクに使える注意が減ります。

インストール

ワンクリックインストール

これを `claude_desktop_config.json` ファイルに追加してください:

{
  "mcpServers": {
    "content-intelligence-api": {
      "url": "https://content-intelligence-mcp.wajih-hyder55.workers.dev"
    }
  }
}

リモートエンドポイント

https://content-intelligence-mcp.wajih-hyder55.workers.devstreamable-http

できること

ツール一覧

ツール(9)

🟢 読み取り専用🟡 書き込み🔴 削除⚪ 不明
🟢extract_content(url)

Extract clean readable content from a URL. Removes ads, clutter, navigation. Pay per call (0.005 USDC) or use subscription.

入力スキーマ

{
  "type": "object",
  "properties": {
    "url": {
      "type": "string",
      "format": "uri",
      "description": "The URL to extract content from"
    }
  },
  "required": [
    "url"
  ]
}
🟢analyze_text(text)

Analyze text for summary, sentiment, entities, topics, and classification. Pay per call (0.003 USDC) or use subscription.

入力スキーマ

{
  "type": "object",
  "properties": {
    "text": {
      "type": "string",
      "description": "The text to analyze (up to 50k chars)"
    }
  },
  "required": [
    "text"
  ]
}
⚪research_topic(query, depth)

Multi-source research synthesis on any topic. Searches the web and synthesizes findings with AI. Pay per call (0.02 USDC) or use subscription.

入力スキーマ

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "Research query or topic"
    },
    "depth": {
      "type": "string",
      "enum": [
        "quick",
        "standard",
        "deep"
      ],
      "default": "standard"
    }
  },
  "required": [
    "query"
  ]
}
⚪compare_articles(source_a, source_b, aspect)

Compare two sources (URLs or text) for similarities, differences, coverage, and bias. Pay per call (0.01 USDC) or use subscription.

入力スキーマ

{
  "type": "object",
  "properties": {
    "source_a": {
      "type": "string",
      "description": "First source URL or text content"
    },
    "source_b": {
      "type": "string",
      "description": "Second source URL or text content"
    },
    "aspect": {
      "type": "string",
      "description": "Optional focus aspect (e.g., 'security', 'performance')"
    }
  },
  "required": [
    "source_a",
    "source_b"
  ]
}
🟢extract_structured(url, schema)

Extract structured JSON data from a URL. Define a schema or let AI infer the structure. Pay per call (0.008 USDC) or use subscription.

入力スキーマ

{
  "type": "object",
  "properties": {
    "url": {
      "type": "string",
      "format": "uri",
      "description": "The URL to extract structured data from"
    },
    "schema": {
      "type": "object",
      "description": "Optional JSON schema definition for extraction fields"
    }
  },
  "required": [
    "url"
  ]
}
🟢sentiment_over_time(urls, texts, topic)

Analyze sentiment trends across multiple sources (URLs or texts). Compares and synthesizes sentiment. Pay per call (0.008 USDC) or use subscription.

入力スキーマ

{
  "type": "object",
  "properties": {
    "urls": {
      "type": "array",
      "items": {
        "oneOf": [
          {
            "type": "string",
            "format": "uri"
          },
          {
            "type": "object",
            "properties": {
              "url": {
                "type": "string",
                "format": "uri"
              },
              "label": {
                "type": "string"
              }
            }
          }
        ]
      },
      "description": "Array of URLs to analyze for sentiment"
    },
    "texts": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "content": {
            "type": "string"
          },
          "label": {
            "type": "string"
          }
        }
      },
      "description": "Array of text contents to analyze for sentiment"
    },
    "topic": {
      "type": "string",
      "description": "Optional topic context for analysis"
    }
  }
}
⚪competitor_intel(company_a, company_b, industry, aspect)

Competitive intelligence analysis comparing two companies/entities. Searches web, extracts content, and provides structured comparison. Pay per call (0.025 USDC) or use subscription.

入力スキーマ

{
  "type": "object",
  "properties": {
    "company_a": {
      "type": "string",
      "description": "First company name"
    },
    "company_b": {
      "type": "string",
      "description": "Second company name"
    },
    "industry": {
      "type": "string",
      "description": "Optional industry context"
    },
    "aspect": {
      "type": "string",
      "description": "Optional focus area (e.g., 'market share', 'innovation')"
    }
  },
  "required": [
    "company_a",
    "company_b"
  ]
}
🟡monitor_page(url, action, page_id)

Extract a page with a content hash for change detection. Use action 'watch' to register for ongoing monitoring. Pay per call (0.005 USDC) or use subscription.

入力スキーマ

{
  "type": "object",
  "properties": {
    "url": {
      "type": "string",
      "format": "uri",
      "description": "The URL to monitor"
    },
    "action": {
      "type": "string",
      "enum": [
        "check",
        "watch"
      ],
      "default": "check",
      "description": "'check' returns content + hash; 'watch' registers for ongoing change detection"
    },
    "page_id": {
      "type": "string",
      "description": "Optional custom ID for the monitored page"
    }
  },
  "required": [
    "url"
  ]
}
⚪daily_brief(urls, topics, format, focus)

Generate a briefing from multiple URLs or topics. Supports executive, bullet, and detailed formats. Pay per call (0.015 USDC) or use subscription.

入力スキーマ

{
  "type": "object",
  "properties": {
    "urls": {
      "type": "array",
      "items": {
        "oneOf": [
          {
            "type": "string",
            "format": "uri"
          },
          {
            "type": "object",
            "properties": {
              "url": {
                "type": "string",
                "format": "uri"
              },
              "label": {
                "type": "string"
              }
            }
          }
        ]
      },
      "description": "Array of URLs to include in the brief"
    },
    "topics": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Array of topics to search and include in the brief"
    },
    "format": {
      "type": "string",
      "enum": [
        "executive",
        "bullet",
        "detailed"
      ],
      "default": "executive",
      "description": "Briefing format style"
    },
    "focus": {
      "type": "string",
      "description": "Optional focus area for the briefing"
    }
  }
}

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