# 範例 這是一個用於 MCP Server 的 JavaScript 範例 以下是一個工具註冊的範例,我們註冊了一個會對 LLM 進行模擬呼叫的工具: ```javascript this.mcpServer.tool( 'completion', { model: z.string(), prompt: z.string(), options: z.object({ temperature: z.number().optional(), max_tokens: z.number().optional(), stream: z.boolean().optional() }).optional() }, async ({ model, prompt, options }) => { console.log(`Processing completion request for model: ${model}`); // Validate model if (!this.models.includes(model)) { throw new Error(`Model ${model} not supported`); } // Emit event for monitoring/metrics this.events.emit('request', { type: 'completion', model, timestamp: new Date() }); // In a real implementation, this would call an AI model // Here we just echo back parts of the request with a mock response const response = { id: `mcp-resp-${Date.now()}`, model, text: `This is a response to: ${prompt.substring(0, 30)}...`, usage: { promptTokens: prompt.split(' ').length, completionTokens: 20, totalTokens: prompt.split(' ').length + 20 } }; // Simulate network delay await new Promise(resolve => setTimeout(resolve, 500)); // Emit completion event this.events.emit('completion', { model, timestamp: new Date() }); return { content: [ { type: 'text', text: JSON.stringify(response) } ] }; } ); ``` ## 安裝 執行以下指令: ```bash npm install ``` ## 執行 ```bash npm start ``` **免責聲明**: 本文件係使用 AI 翻譯服務 [Co-op Translator](https://github.com/Azure/co-op-translator) 進行翻譯。雖然我們致力於確保準確性,但請注意,自動翻譯可能包含錯誤或不準確之處。原始文件的母語版本應視為權威來源。對於重要資訊,建議採用專業人工翻譯。我們不對因使用本翻譯而產生的任何誤解或誤釋負責。