ai-model-router
Cloudflare Workers MCP server: ai-model-router
我該用這個嗎
品質與安全性
B
根據工具定義與協定合規性的自動化分析。
上下文成本
~269Token(工具定義)
~725 B典型回應大小
極小的注意力影響(128k 上下文的 0.21%)
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-model-router": {
"url": "https://api.lazy-mac.com/ai-model-router/mcp"
}
}
}遠端端點
https://api.lazy-mac.com/ai-model-router/mcpstreamable-http它能做什麼
工具清單
工具(3)
🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢route_model(prompt, task_type, max_cost_usd, prefer_provider, prefer_tier, ...)
Select the optimal AI model (GPT-4, Claude, Gemini) for a task based on type, cost, and provider preferences.
輸入結構描述
{
"type": "object",
"properties": {
"prompt": {
"type": "string",
"description": "Task description for auto-classification"
},
"task_type": {
"type": "string",
"enum": [
"code",
"analysis",
"creative",
"summarize",
"classify",
"reason",
"vision",
"chat",
"general"
]
},
"max_cost_usd": {
"type": "number",
"description": "Max budget in USD per call"
},
"prefer_provider": {
"type": "string",
"enum": [
"openai",
"anthropic",
"google"
]
},
"prefer_tier": {
"type": "string",
"enum": [
"economy",
"standard",
"premium"
]
},
"input_tokens": {
"type": "integer"
},
"output_tokens": {
"type": "integer"
}
}
}⚪compare_models(prompt, task_type, input_tokens, output_tokens)
Compare cost and task fit across all supported AI models for a given prompt or token count.
輸入結構描述
{
"type": "object",
"properties": {
"prompt": {
"type": "string"
},
"task_type": {
"type": "string"
},
"input_tokens": {
"type": "integer"
},
"output_tokens": {
"type": "integer"
}
}
}🟢list_models
List all supported AI models with pricing and capabilities.
輸入結構描述
{
"type": "object",
"properties": {}
}社群
證據
近期觀測
已驗證未記錄版本3 個工具
已驗證未記錄版本3 個工具
已驗證未記錄版本3 個工具