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ai-token-counter

Cloudflare Workers MCP server: ai-token-counter

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
80%
命名品質
95%
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

~421Token（工具定義）
~757 B典型回應大小
極小的注意力影響（128k 上下文的 0.33%）

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": {
    "ai-token-counter": {
      "url": "https://api.lazy-mac.com/ai-token-counter/mcp"
    }
  }
}

遠端端點

https://api.lazy-mac.com/ai-token-counter/mcpstreamable-http

它能做什麼

工具清單

工具（4）

🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢count_tokens(model, text, messages)

Count tokens for a text string or chat messages array for any supported AI model (GPT-4o, Claude, Gemini, Mistral, Llama).

輸入結構描述

{
  "type": "object",
  "properties": {
    "model": {
      "type": "string",
      "description": "Model ID, e.g. gpt-4o, claude-sonnet-4. Defaults to gpt-4o."
    },
    "text": {
      "type": "string",
      "description": "Plain text to count tokens for."
    },
    "messages": {
      "type": "array",
      "description": "Chat messages array in OpenAI/Anthropic format.",
      "items": {
        "type": "object"
      }
    }
  }
}
⚪estimate_cost(model, input_tokens, output_tokens, text, requests_per_day)

Estimate the cost of an AI API call given model and token counts or text. Returns input/output/total cost and optional monthly projection.

輸入結構描述

{
  "type": "object",
  "properties": {
    "model": {
      "type": "string",
      "description": "Model ID, e.g. gpt-4o, claude-opus-4, gemini-2.0-flash."
    },
    "input_tokens": {
      "type": "integer",
      "description": "Number of input tokens."
    },
    "output_tokens": {
      "type": "integer",
      "description": "Number of output tokens."
    },
    "text": {
      "type": "string",
      "description": "Text to tokenize for input (if input_tokens not given)."
    },
    "requests_per_day": {
      "type": "number",
      "description": "If given, adds daily/monthly/yearly cost projection."
    }
  },
  "required": [
    "model"
  ]
}
🟢get_model_pricing(model)

Get input/output pricing per 1M tokens for a specific AI model.

輸入結構描述

{
  "type": "object",
  "properties": {
    "model": {
      "type": "string",
      "description": "Model ID, e.g. gpt-4o, claude-haiku-3, llama-3-70b."
    }
  },
  "required": [
    "model"
  ]
}
🟢list_models

List all supported AI models with their pricing and context windows.

輸入結構描述

{
  "type": "object",
  "properties": {}
}

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