servers

Here's a TypeScript server implementation using the Model Context Protocol to integrate a sentiment analysis model into your application:

```typescript
import { ModelContextProtocol } from 'model-context-protocol';
import { SentimentAnalysisModel } from './sentiment-analysis-model';

class SentimentAnalysisServer {
  private model: SentimentAnalysisModel;
  private logger: any;

  constructor(loggingLevel: string) {
    this.model = new SentimentAnalysisModel();
    this.logger = this.initializeLogger(loggingLevel);
  }

  private initializeLogger(loggingLevel: string): any {
    // Initialize logger based on the specified logging level
    // ...
  }

  public async analyzeSentiment(text: string): Promise<string> {
    try {
      this.logger.info(`Analyzing sentiment for text: ${text}`);
      const sentiment = await this.model.predict(text);
      this.logger.info(`Sentiment analysis result: ${sentiment}`);
      return sentiment;
    } catch (error) {
      this.logger.error(`Error analyzing sentiment: ${error.message}`);
      throw error;
    }
  }
}

export default SentimentAnalysisServer;
```

This server handles real-time sentiment analysis tasks, with error handling and logging for the specified logging level. The server can be easily integrated into your application to provide sentiment analysis capabilities.