api-response-cost-analyzer
Cloudflare Workers MCP server: api-response-cost-analyzer
我該用這個嗎
品質與安全性
A
發現項目(2)
- LOW在 estimate_cost 中
- LOW在 compare_models 中
根據工具定義與協定合規性的自動化分析。
上下文成本
~290Token(工具定義)
~649 B典型回應大小
極小的注意力影響(128k 上下文的 0.23%)
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": {
"api-response-cost-analyzer": {
"url": "https://api.lazy-mac.com/api-response-cost-analyzer/mcp"
}
}
}遠端端點
https://api.lazy-mac.com/api-response-cost-analyzer/mcpstreamable-http它能做什麼
工具清單
工具(4)
🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢analyze_response(content)
Analyze API response content and estimate token count
輸入結構描述
{
"type": "object",
"properties": {
"content": {
"type": [
"string",
"object"
],
"description": "API response content"
}
},
"required": [
"content"
]
}⚪estimate_cost(content, model, input_tokens)
Estimate API response cost for a specific LLM model
輸入結構描述
{
"type": "object",
"properties": {
"content": {
"type": [
"string",
"object"
],
"description": "API response content"
},
"model": {
"type": "string",
"description": "Model ID (gpt-4, claude-3.5-sonnet, etc)"
},
"input_tokens": {
"type": "number",
"description": "Optional input token count"
}
},
"required": [
"content",
"model"
]
}⚪compare_models(content, input_tokens, models)
Compare API response costs across multiple LLM models
輸入結構描述
{
"type": "object",
"properties": {
"content": {
"type": [
"string",
"object"
],
"description": "API response content"
},
"input_tokens": {
"type": "number",
"description": "Optional input token count"
},
"models": {
"type": "array",
"items": {
"type": "string"
},
"description": "Array of model IDs to compare"
}
},
"required": [
"content"
]
}🟢optimize_payload(content)
Get optimization suggestions to reduce API response cost
輸入結構描述
{
"type": "object",
"properties": {
"content": {
"type": [
"string",
"object"
],
"description": "API response content"
}
},
"required": [
"content"
]
}社群
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