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x402-mcp-tools

Pay-per-call MCP tools via x402 (USDC on Base): QR codes, images, text analysis, web fetch.

我該用這個嗎

品質與安全性

A
說明品質
100%
結構描述完整度
92%
命名品質
100%
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

~439Token（工具定義）
~905 B典型回應大小
極小的注意力影響（128k 上下文的 0.34%）

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": {
    "x402-mcp-tools": {
      "url": "https://mcp.187.77.111.249.sslip.io/mcp"
    }
  }
}

遠端端點

https://mcp.187.77.111.249.sslip.io/mcpstreamable-http

它能做什麼

工具清單

工具（4）

🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
⚪generate_qr_code(product, data, size)

Generate a QR code (URL, text, vCard or WiFi) as a base64 PNG.

輸入結構描述

{
  "type": "object",
  "properties": {
    "product": {
      "type": "string",
      "enum": [
        "url",
        "text",
        "vcard",
        "wifi"
      ],
      "description": "QR type (default url)"
    },
    "data": {
      "type": "string",
      "description": "Content to encode"
    },
    "size": {
      "type": "integer",
      "description": "Image size px, 100-1000 (default 300)"
    }
  },
  "required": [
    "data"
  ]
}
⚪process_image(product, image_b64, width, height, format, ...)

Process an image: resize, convert (png/jpeg/webp), compress, or square thumbnail. Input and output are base64.

輸入結構描述

{
  "type": "object",
  "properties": {
    "product": {
      "type": "string",
      "enum": [
        "resize",
        "convert",
        "compress",
        "thumbnail"
      ]
    },
    "image_b64": {
      "type": "string",
      "description": "Source image, base64"
    },
    "width": {
      "type": "integer"
    },
    "height": {
      "type": "integer"
    },
    "format": {
      "type": "string",
      "enum": [
        "png",
        "jpeg",
        "webp"
      ]
    },
    "quality": {
      "type": "integer"
    },
    "size": {
      "type": "integer"
    }
  },
  "required": [
    "product",
    "image_b64"
  ]
}
🟢analyze_text(product, text, sentences, count, target_lang)

LLM text analysis: summary, sentiment (JSON label/score), keywords, translation.

輸入結構描述

{
  "type": "object",
  "properties": {
    "product": {
      "type": "string",
      "enum": [
        "summary",
        "sentiment",
        "keywords",
        "translate"
      ]
    },
    "text": {
      "type": "string",
      "description": "Text to analyze (max 8000 chars)"
    },
    "sentences": {
      "type": "integer"
    },
    "count": {
      "type": "integer"
    },
    "target_lang": {
      "type": "string"
    }
  },
  "required": [
    "product",
    "text"
  ]
}
🟢fetch_url(url, max_chars)

Fetch a public web page and return its readable text (title + extracted body, HTML stripped).

輸入結構描述

{
  "type": "object",
  "properties": {
    "url": {
      "type": "string",
      "description": "Public http(s) URL to fetch"
    },
    "max_chars": {
      "type": "integer",
      "description": "Max characters of extracted text, 500-20000 (default 4000)"
    }
  },
  "required": [
    "url"
  ]
}

建議的提示詞

retrieve_data
Get details about [item] from x402-mcp-tools
預期的工具： fetch_url
fetch_info
Fetch [information type] using x402-mcp-tools
預期的工具： fetch_url

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證據

近期觀測

已驗證未記錄版本4 個工具
已驗證未記錄版本4 個工具