mcp-incident-analyzer
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@mcp-incident-analyzerCheck for active incidents and analyze the most critical one."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
mcp-incident-analyzer
A Python-based MCP (Model Context Protocol) server that supports the full cycle from incident detection to analysis and response guidance.
Features
Tool | Description |
| Detect currently active incidents (filter by severity/type) |
| Root cause analysis (RCA) of a specific incident, timeline, and impact scope |
| Incident response recommendations (automated/manual actions, escalation) |
| Retrieve the full incident list |
| Retrieve system metrics (CPU, memory, network, etc.) |
Related MCP server: mcp-incident-responder
Incident Types
Infrastructure: Server down, CPU spikes, disk full
Security: Abnormal logins, malicious traffic, intrusion detection
Application: Error rate surges, response latency, deployment failures
Installation & Execution
# 설치
pip install -e .
# MCP 서버 실행
python -m mcp_incident_analyzer
# 또는 mcp CLI로 실행
mcp run mcp_incident_analyzer/server.pyMCP Client Configuration
Add to claude_desktop_config.json or the MCP client settings:
{
"mcpServers": {
"incident-analyzer": {
"command": "python",
"args": ["-m", "mcp_incident_analyzer"]
}
}
}Development
pip install -e ".[dev]"
pytestArchitecture
mcp_incident_analyzer/
├── __init__.py
├── __main__.py # 엔트리포인트
├── server.py # MCP 서버 정의 & tool 등록
├── models.py # Pydantic 데이터 모델
├── mock_data.py # Mock 인시던트/메트릭 데이터
├── detector.py # 인시던트 탐지 로직
├── analyzer.py # 근본 원인 분석 로직
└── responder.py # 대응 권고 생성 로직License
MIT
This server cannot be deployed
Maintenance
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