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hashirR786

incident-commander-mcp

by hashirR786

incident-commander-mcp

AI-powered incident management MCP server built for the NitroStack Hackathon.

NitroStack TypeScript MCP


⚠️ R12 Disclosure — Simulated Integrations

All data returned by this MCP server is entirely mocked and stored in-memory.

There are NO real connections to:

  • Kubernetes / container orchestration platforms

  • Grafana / Prometheus / any metrics backend

  • GitHub / GitLab / any version control system

  • PagerDuty / OpsGenie / any alerting system

  • Stripe or any payment processor

This is a demo for hackathon evaluation purposes. The realistic-looking data is seeded with a purposeful incident scenario (deploy at 14:02 → error spike at 14:03) to demonstrate agent reasoning capabilities over MCP tools, resources, and prompts.


Overview

incident-commander-mcp is a single MCP server built on the NitroStack TypeScript framework (@nitrostack/core). It exposes tools, resources, and prompts that enable an AI agent to:

  1. Investigate production incidents by querying deployment history, error logs, and metrics

  2. Reason about root causes using cross-correlated data

  3. Act (with human approval) by requesting rollbacks or creating incident tickets

  4. Document incidents via structured postmortem prompts


Capabilities

🔧 Tools (8)

Tool

Description

Annotation

get_recent_deployments

Recent deployments, optionally filtered by service

readOnly

get_service_logs

Error logs for a service within a time window

readOnly

get_service_metrics

Latency, error rate, CPU/memory time-series

readOnly

check_pod_status

Kubernetes pod readiness and restart counts

readOnly

analyze_root_cause

Cross-correlates deploy + logs + metrics → hypothesis

readOnly

trigger_rollback

Submits a rollback request (requires human approval)

destructive

create_incident_ticket

Creates a new in-memory incident record

post_status_update

Appends a timeline entry to an incident

📦 Resources (4)

URI

Description

incident://current

Active incident snapshot (JSON)

incident://{id}/timeline

Timeline for a specific incident

deployments://recent

Last 20 deployments across all services

service://{name}/health

Health snapshot for one service

💬 Prompts (3)

Prompt

Arguments

Description

root_cause_investigation

service, symptom

Guides structured RCA with tool call sequence

postmortem_report

incident_id

Generates a blameless postmortem

rollback_decision

service, target_version

Risk/benefit analysis before rollback


Incident Scenario (Demo)

The seeded data tells a realistic story:

14:00 UTC  — payment-service healthy: error_rate 0.2%, latency 45ms
14:02 UTC  — payment-service v2.4.1 deployed (commit a3f8c21d)
14:03 UTC  — Error spike: "Cannot read properties of undefined (reading 'stripeId')"
14:03 UTC  — error_rate jumps to 28%, latency spikes to 320ms
14:04 UTC  — Pods begin CrashLoopBackOff, 7 restarts
14:05 UTC  — error_rate: 91%, latency: 1450ms, API Gateway circuit breaker opens

An agent reasoning over get_recent_deploymentsget_service_logsget_service_metricsanalyze_root_cause should produce a hypothesis pointing to v2.4.1 as the culprit with ~0.90 confidence.


Quick Start

# 1. Clone / navigate to project
cd incident-commander-mcp

# 2. Install dependencies (already done by CLI)
npm install

# 3. Start development server
npm run dev

Building for Production

npm run build
npm start

Built with NitroStack

-
license - not tested
-
quality - not tested
C
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

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