wehub-resource-sync
83 lines
2.1 KiB
Markdown
83 lines
2.1 KiB
Markdown
# 示例
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这是一个用于 MCP 服务器的 JavaScript 示例
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下面是一个工具注册的例子，我们注册了一个对 LLM 进行模拟调用的工具：
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```javascript
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this.mcpServer.tool(
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'completion',
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{
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model: z.string(),
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prompt: z.string(),
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options: z.object({
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temperature: z.number().optional(),
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max_tokens: z.number().optional(),
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stream: z.boolean().optional()
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}).optional()
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},
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async ({ model, prompt, options }) => {
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console.log(`Processing completion request for model: ${model}`);
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// Validate model
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if (!this.models.includes(model)) {
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throw new Error(`Model ${model} not supported`);
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}
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// Emit event for monitoring/metrics
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this.events.emit('request', {
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type: 'completion',
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model,
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timestamp: new Date()
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});
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// In a real implementation, this would call an AI model
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// Here we just echo back parts of the request with a mock response
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const response = {
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id: `mcp-resp-${Date.now()}`,
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model,
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text: `This is a response to: ${prompt.substring(0, 30)}...`,
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usage: {
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promptTokens: prompt.split(' ').length,
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completionTokens: 20,
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totalTokens: prompt.split(' ').length + 20
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}
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};
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// Simulate network delay
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await new Promise(resolve => setTimeout(resolve, 500));
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// Emit completion event
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this.events.emit('completion', {
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model,
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timestamp: new Date()
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});
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return {
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content: [
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{
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type: 'text',
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text: JSON.stringify(response)
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}
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]
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};
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}
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);
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```
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## 安装
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运行以下命令：
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```bash
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npm install
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```
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## 运行
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```bash
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npm start
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```
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**免责声明**：
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本文件使用 AI 翻译服务 [Co-op Translator](https://github.com/Azure/co-op-translator) 进行翻译。虽然我们力求准确，但请注意，自动翻译可能包含错误或不准确之处。原始文件的母语版本应被视为权威来源。对于重要信息，建议采用专业人工翻译。我们不对因使用本翻译而产生的任何误解或误释承担责任。 |