Sentry MCP Error Monitoring

This guide introduces how to use Sentry MCP to build intelligent error monitoring and debugging systems, enabling ByteBuddy to automate error handling workflows.

Overview

Sentry MCP provides deep integration with the Sentry error monitoring platform, allowing ByteBuddy to:

• Automate error analysis and classification
• Generate intelligent error fix suggestions
• Detect performance issues
• Analyze error trends

Configuration

1. Install Sentry MCP

npm install -g sentry-mcp-server

2. Configure ByteBuddy

{
  "mcpServers": {
    "sentry": {
      "command": "node",
      "args": ["sentry-mcp-server"],
      "env": {
        "SENTRY_DSN": "your-sentry-dsn",
        "SENTRY_AUTH_TOKEN": "your-auth-token",
        "SENTRY_ORGANIZATION": "your-org",
        "SENTRY_PROJECT": "your-project"
      }
    }
  }
}

Use Cases

Scenario 1: Intelligent Error Analysis

// Intelligent error analyzer
class ErrorAnalyzer {
  async analyzeError(errorId: string) {
    // Get error details
    const error = await mcp.call("sentry.getError", {
      id: errorId,
    });

    // Analyze error patterns
    const pattern = await this.identifyErrorPattern(error);

    // Generate fix suggestions
    const suggestions = await this.generateFixSuggestions(error, pattern);

    // Find similar errors
    const similarErrors = await this.findSimilarErrors(error);

    // Create fix task
    const task = await this.createFixTask(error, suggestions);

    return {
      error,
      pattern,
      suggestions,
      similarErrors,
      task,
    };
  }

  private async identifyErrorPattern(error: any) {
    const analysis = {
      type: this.classifyErrorType(error),
      severity: this.calculateSeverity(error),
      frequency: this.getErrorFrequency(error),
      impact: this.calculateImpact(error),
      rootCause: await this.identifyRootCause(error),
    };

    return analysis;
  }

  private async generateFixSuggestions(error: any, pattern: any) {
    const suggestions = [];

    // Suggestions based on error type
    switch (pattern.type) {
      case "NullPointerException":
        suggestions.push({
          title: "Add Null Check",
          code: `
// Check for null before accessing object properties
if (obj != null) {
  return obj.property;
} else {
  return defaultValue;
}
          `,
          confidence: 0.9,
        });
        break;

      case "TypeError":
        suggestions.push({
          title: "Add Type Checking",
          code: `
// Ensure parameter types are correct
function processData(data: any): ProcessedData {
  if (typeof data !== 'object') {
    throw new TypeError('Expected object');
  }
  // Processing logic
}
          `,
          confidence: 0.85,
        });
        break;
    }

    // Context-based suggestions
    if (pattern.frequency > 10) {
      suggestions.push({
        title: "Implement Error Boundaries",
        code: `
// React error boundary example
class ErrorBoundary extends React.Component {
  constructor(props) {
    super(props);
    this.state = { hasError: false };
  }
  
  static getDerivedStateFromError(error) {
    return { hasError: true };
  }
  
  render() {
    if (this.state.hasError) {
      return <h1>Something went wrong.</h1>;
    }
    return this.props.children;
  }
}
        `,
        confidence: 0.8,
      });
    }

    return suggestions;
  }

  private async createFixTask(error: any, suggestions: any[]) {
    const taskTitle = `Fix Error: ${error.title}`;
    const taskBody = this.generateTaskBody(error, suggestions);

    return await mcp.call("github.createIssue", {
      owner: "your-org",
      repo: "your-repo",
      title: taskTitle,
      body: taskBody,
      labels: ["bug", "auto-generated", error.level],
      assignees: this.findAssignee(error),
    });
  }
}

Scenario 2: Error Trend Analysis

// Error trend analysis
class ErrorTrendAnalyzer {
  async analyzeTrends(timeRange: string = "7d") {
    // Get error data
    const errorData = await mcp.call("sentry.getIssues", {
      organization: "your-org",
      project: "your-project",
      query: `is:unresolved timestamp:${timeRange}`,
      limit: 100,
    });

    // Analyze trends
    const trends = {
      newErrors: this.analyzeNewErrors(errorData),
      recurringErrors: this.analyzeRecurringErrors(errorData),
      performanceIssues: this.analyzePerformanceIssues(errorData),
      userImpact: this.analyzeUserImpact(errorData),
    };

    // Generate report
    const report = await this.generateTrendReport(trends);

    // Create trend alerts
    if (trends.newErrors.count > trends.threshold) {
      await this.createTrendAlert(trends.newErrors);
    }

    return report;
  }

  private analyzeRecurringErrors(errors: any[]) {
    const recurring = errors.filter(
      (error) =>
        error.occurrences > 5 &&
        error.firstSeen < new Date(Date.now() - 7 * 24 * 60 * 60 * 1000),
    );

    // Sort by impact
    const byImpact = recurring.sort(
      (a, b) => b.userCount * b.occurrences - a.userCount * a.occurrences,
    );

    return {
      count: recurring.length,
      topIssues: byImpact.slice(0, 5),
      recommendations: this.generateRecurringRecommendations(byImpact),
    };
  }

  private generateRecurringRecommendations(recurringErrors: any[]) {
    return [
      {
        title: "Implement Monitoring Dashboard",
        description:
          "Create a real-time monitoring dashboard to track these recurring errors",
        priority: "high",
      },
      {
        title: "Enhance Test Coverage",
        description:
          "Add automated tests for key modules, especially edge cases",
        priority: "medium",
      },
      {
        title: "Improve Error Handling",
        description:
          "Implement more graceful error handling mechanisms to avoid exposing technical details to users",
        priority: "medium",
      },
    ];
  }
}

Scenario 3: Performance Monitoring

// Performance monitoring system
class PerformanceMonitor {
  async monitorPerformance() {
    // Get performance data
    const performanceData = await mcp.call("sentry.getPerformanceData", {
      organization: "your-org",
      project: "your-project",
      query: "transaction.duration:>1000ms",
      statsPeriod: "24h",
    });

    // Analyze performance issues
    const analysis = {
      slowTransactions: this.analyzeSlowTransactions(performanceData),
      resourceUsage: this.analyzeResourceUsage(performanceData),
      userExperience: this.analyzeUserExperience(performanceData),
      recommendations:
        await this.generatePerformanceRecommendations(performanceData),
    };

    // Create performance report
    const report = await this.createPerformanceReport(analysis);

    return report;
  }

  private analyzeSlowTransactions(data: any) {
    const threshold = 3000; // 3 second threshold
    const slowTransactions = data.transactions.filter(
      (tx) => tx.transaction.duration > threshold,
    );

    // Sort by impact
    const byImpact = slowTransactions
      .map((tx) => ({
        name: tx.transaction,
        avgDuration: tx.transaction.duration,
        count: tx.count,
        impact: tx.count * tx.transaction.duration,
      }))
      .sort((a, b) => b.impact - a.impact);

    return {
      count: slowTransactions.length,
      totalImpact: byImpact.reduce((sum, tx) => sum + tx.impact, 0),
      topIssues: byImpact.slice(0, 5),
    };
  }

  private async generatePerformanceRecommendations(data: any) {
    const recommendations = [];

    // Analyze slow queries
    if (data.databasePerformance) {
      recommendations.push({
        category: "database",
        title: "Optimize Database Queries",
        description:
          "Detected multiple slow queries, recommend adding indexes or optimizing query logic",
        actions: [
          "Analyze query execution plans",
          "Add appropriate database indexes",
          "Consider using caching layer",
        ],
      });
    }

    // Analyze resource sizes
    if (data.assetSize) {
      recommendations.push({
        category: "frontend",
        title: "Optimize Resource Loading",
        description: "Large page resources affecting loading performance",
        actions: [
          "Compress image resources",
          "Use code splitting",
          "Enable HTTP/2 push",
        ],
      });
    }

    return recommendations;
  }
}

Automated Workflows

1: Error Handling Automation

// Error handling automated workflow
class ErrorWorkflow {
  async setupAutomatedWorkflow() {
    // Set up error event listeners
    mcp.on("sentry.error.created", async (event) => {
      await this.handleError(event.error);
    });

    mcp.on("sentry.error.resolved", async (event) => {
      await this.trackResolution(event.error);
    });
  }

  private async handleError(error: any) {
    // Error categorization
    const category = await this.categorizeError(error);

    // Severity assessment
    const severity = this.assessSeverity(error, category);

    // Automated handling decision
    if (severity === "critical") {
      await this.handleCriticalError(error);
    } else if (severity === "high") {
      await this.handleHighSeverityError(error);
    } else {
      await this.handleNormalError(error);
    }
  }

  private async handleCriticalError(error: any) {
    // Immediate team notification
    await this.sendCriticalAlert(error);

    // Attempt auto-fix
    const autoFix = await this.attemptAutoFix(error);

    if (autoFix.success) {
      await this.applyAutoFix(error, autoFix.fix);
    } else {
      // Create urgent task
      await this.createUrgentTask(error);
    }
  }

  private async sendCriticalAlert(error: any) {
    const alertMessage = `
🚨 Critical Error Alert

Error: ${error.title}
Environment: ${error.environment}
Affected Users: ${error.userCount}
Occurrences: ${error.occurrences}

View Now: ${error.permalink}

This error requires immediate attention!
    `;
    await mcp.call("slack.sendMessage", {
      channel: "#critical-alerts",
      text: alertMessage,
    });

    await mcp.call("email.send", {
      to: ["dev-team@company.com"],
      subject: `Critical Error: ${error.title}`,
      body: alertMessage,
    });
  }
}

2: Quality Gates

// Quality gate system
class QualityGate {
  async checkQualityBeforeDeployment(buildInfo: any) {
    const checks = [
      this.checkErrorRate(),
      this.checkPerformanceMetrics(),
      this.checkCrashRate(),
      this.checkUserComplaints(),
    ];

    const results = await Promise.allSettled(checks);

    const qualityReport = {
      passed: true,
      issues: [],
      metrics: {},
    };

    results.forEach((result, index) => {
      const checkName = ["errorRate", "performance", "crashRate", "complaints"][
        index
      ];

      if (result.status === "fulfilled") {
        qualityReport.metrics[checkName] = result.value;

        if (!result.value.passed) {
          qualityReport.passed = false;
          qualityReport.issues.push({
            check: checkName,
            issue: result.value.issue,
            threshold: result.value.threshold,
            actual: result.value.actual,
          });
        }
      } else {
        qualityReport.passed = false;
        qualityReport.issues.push({
          check: checkName,
          issue: "Check failed to execute",
          error: result.reason,
        });
      }
    });

    return qualityReport;
  }

  private async checkErrorRate() {
    const errorRate = await mcp.call("sentry.getErrorRate", {
      organization: "your-org",
      project: "your-project",
      timeRange: "24h",
    });

    const threshold = 0.01; // 1%

    return {
      passed: errorRate < threshold,
      actual: errorRate,
      threshold: threshold,
      issue:
        errorRate >= threshold
          ? `Error rate ${(errorRate * 100).toFixed(2)}% exceeds threshold ${(threshold * 100).toFixed(2)}%`
          : null,
    };
  }
}

Best Practices

1: Error Handling Strategy

// Unified error handling
class UnifiedErrorHandler {
  async handleAllErrors(error: any) {
    const context = {
      error,
      timestamp: new Date().toISOString(),
      environment: process.env.NODE_ENV,
      version: process.env.APP_VERSION,
    };

    // Log to Sentry
    await this.logToSentry(error, context);

    // Local logging
    await this.logLocally(error, context);

    // User-friendly prompt
    const userMessage = this.generateUserFriendlyMessage(error);

    // Internal notification
    if (this.shouldNotify(error)) {
      await this.notifyTeam(error, context);
    }

    return {
      handled: true,
      userMessage,
      trackingId: this.generateTrackingId(),
    };
  }
}

Through Sentry MCP, ByteBuddy can provide powerful error monitoring and intelligent debugging capabilities, making applications more stable and reliable.