Intelligent Incident Response Powered by AI

Transform CloudWatch alerts into actionable insights. Automatically analyze, diagnose, and distribute incident reports to Slack, Jira, and email with AI-powered root cause analysis.

See It In Action Learn More

<60s

Alert to Analysis

80%

Cost Reduction

24/7

Automated Response

⚠️ CloudWatch Alert

→

🤖 AI Analysis

→

📢 Smart Notifications

Why MCP First-Responder?

Stop drowning in alerts. Start acting on intelligence.

AI-Powered Analysis

Claude AI analyzes logs, traces, and infrastructure state to determine root cause and impact within seconds.

Context-Aware

Automatically gathers CloudWatch logs, deployment history, infrastructure health, and historical patterns.

Cost Optimized

Intelligent caching reduces API costs by 80%. Run 100 alerts/day for ~$58/month.

Serverless Architecture

Event-driven design using Lambda, EventBridge, SQS, and DynamoDB. Zero infrastructure to manage.

Multi-Channel Distribution

Rich Slack notifications with Block Kit, automatic Jira tickets, and formatted email alerts.

Production Ready

Circuit breakers, DLQ monitoring, retry logic, and graceful degradation built-in.

How It Works

Three-stage intelligent pipeline

Ingest & Normalize

Receives alerts from CloudWatch, SNS, and custom webhooks. Enriches with AWS metadata and normalizes format.

EventBridge Lambda SQS FIFO

Analyze & Diagnose

Gathers comprehensive context and sends to Claude AI for root cause analysis, severity assessment, and remediation recommendations.

Claude AI DynamoDB CloudWatch

Distribute & Act

Sends formatted notifications to Slack with interactive buttons, creates Jira tickets, and emails stakeholders.

Slack API Jira API SES

Architecture

Event-driven serverless design

Sources

CloudWatch Logs

CloudWatch Alarms

SNS Topics

↓

Ingestion

EventBridge

Ingestor Lambda

SQS FIFO

↓

Analysis

Analyzer Lambda

Claude API

DynamoDB Cache

↓

Distribution

Slack Notifier

Jira Notifier

Email Notifier

See It In Action

Watch a simulated incident flow from alert to resolution

Alert Detected

Database connection timeout in production

ERROR: Connection to RDS instance timed out after 30s

Context Gathering

Fetching logs, infrastructure state, and deployment history

AI Analysis

Claude identifies root cause and recommends actions

Root Cause: Recent deployment increased connection pool usage. RDS instance at max connections (100/100).
Recommended Action: Scale RDS instance or optimize connection pooling.

Notifications Sent

Slack message delivered, Jira ticket created, emails sent

🚨 CRITICAL: Database Connection Timeout
Analyzed in 45 seconds