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MCP Recipe for Instant Incident War Rooms.

PagerDuty wakes you up at 2am with 'high error rate' but the Axiom dashboard shows 47 different error types , your agent already ran the query, found the root cause, and posted the diagnosis before you opened your laptop

Explore All Connectors

Works with every AI agent you already use

…and any MCP-compatible client

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AI Agent
Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel

How It Works

Your AI agent monitors PagerDuty for new incidents. When an incident fires, it reads the service name, severity, and alert details.

Then it queries Axiom , the agent runs APL queries against your datasets to diagnose the issue: error rates by endpoint, latency percentiles, trace analysis, log patterns.

It identifies the root cause from the data: 'Incident: payment-api high error rate. Axiom query results: 423 errors in the last 15 minutes.

98% are TimeoutError on /api/v2/checkout. Upstream dependency: payment-gateway responding in 12s (normal: 200ms). Root cause: payment-gateway degradation, not payment-api code issue.' The agent posts the full diagnosis to Discord with the query results, timeline, root cause, and recommended action , all before the on-call engineer finishes reading the PagerDuty notification on their phone.

Connector Orchestration: 3 Connectors, one intelligent agent

Connect Axiom, PagerDuty and Discord Connectors so your AI agent runs diagnostic queries on your Axiom log and event data, correlates findings with PagerDuty incident context, and posts structured war room briefings to Discord. On-call teams who wake up to a PagerDuty alert and spend 30 minutes querying Axiom to understand what happened get an agent that runs the investigation first and delivers the diagnosis to Discord before the engineer starts debugging.

Run This Automation Today

Connect Claude, ChatGPT, Cursor, or any AI agent to the Vinkius catalog and run this automation in minutes.

Build Your Own Connector

Convert any internal API into a Connector. Import a spec, define Agent Skills, or deploy with MCPFusion.

  • Import from OpenAPI, Swagger, or YAML specs
  • Create Agent Skills with progressive disclosure
  • Deploy to edge with MCPFusion framework
  • Built in DLP, auth, and compliance on each call
  • Real time usage dashboard and cost metering
  • Publish to catalog or keep private
Start building

Connect & Automate

The 3 servers this recipe uses are ready in the catalog. Connect them once, paste a prompt, and your AI runs the full workflow.

  • Axiom, Pagerduty & Discord ready in the catalog right now
  • Add more from 5,800+ servers whenever you need
  • Connections are secured and compliant by default
  • Track usage and costs across all your servers
  • Works with Claude, ChatGPT, Cursor, and more
  • New servers and recipes added weekly

Superpowers you didn't know your AI had

The Vinkius catalog gives your agent access to 5,800+ Connectors and the intelligence to combine them. Imagine never logging into another dashboard. Your AI handles the work across all tools, in one conversation. That's what this connectivity layer was built for.

Superpower 01

Cross-Platform Intelligence

Your agent doesn't just connect to tools. It understands the relationships between them. Data flows where it needs to go, automatically, with full context preserved across all platforms.

Superpower 02

Contextual Reasoning

Each decision your agent makes considers the full picture. It reads CRM data, checks calendars, reviews conversation history, and acts on everything at once. Not step by step. All at once.

Superpower 03

Productivity at Scale

What used to take 45 minutes across five different dashboards now takes one sentence. Your agent runs the entire workflow end to end while you focus on decisions that actually matter.

Superpower 04

Zero-Config Reliability

No API keys to paste. No webhooks to configure. No YAML to debug. Connect your Connectors once, and your agent handles the rest. Each time, without intervention.

Made for exactly this

Your AI agent taps into the entire Vinkius AI Connectors to handle these for you. You describe what you need. It does the rest.

On-call engineers who want incident diagnosis delivered before they start investigating

SRE teams running Axiom for observability who need automated diagnostic query execution during incidents

Engineering managers who want structured incident reports in Discord with actual data, not 'we are investigating'

Teams with complex microservice architectures who need automated dependency analysis during outages

Frequently Asked Questions About This Connector Orchestration

Which Connectors do I need for this workflow?

Three: Axiom, PagerDuty and Discord. Connect all three to your AI client before running any prompt from this page.

Does this work with Claude Desktop, Cursor or Windsurf?

Yes. Any AI client that supports the Model Context Protocol works , Claude Desktop, Cursor, Windsurf, Cline and others. Connect the Connectors and paste a prompt.

Can I use Datadog instead of Axiom?

Yes. Check the Datadog + Grafana + Discord recipe and the PagerDuty + Datadog + Discord recipe on Vinkius for similar observability workflows.

Is my telemetry data secure?

Connectors authenticate through API keys. Axiom and PagerDuty data stays in your accounts. Discord messages go to your server. Vinkius does not store your logs or metrics.

Connectors used in this workflow