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
Works with every AI agent you already use
…and any MCP-compatible client
Waiting for input…
Gemini 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.
MCP Server Orchestration: 3 MCP Servers, one intelligent agent
Connect Axiom, PagerDuty and Discord MCP servers 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.
Axiom
triggerRuns diagnostic queries on log data, events, traces and application telemetry
run_query list_datasets get_dataset list_monitors Pagerduty
enrichmentReads incident details, service impact, on-call schedules and escalation state
list_incidents get_incident list_oncalls list_services Discord
actionPosts structured incident diagnosis with query results and recommended actions
create_message list_guild_channels get_channel 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 MCP
Turn any internal API into an MCP server. 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 every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
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 4,700+ servers whenever you need
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers and recipes added every week
Superpowers you didn't know your AI had
The Vinkius catalog gives your agent access to 4,700+ MCP servers and the intelligence to combine them. Imagine never logging into another dashboard. Your AI handles the work across every tool, in one conversation. That's what this infrastructure was built for.
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 every platform.
Contextual Reasoning
Every 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.
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.
Zero-Config Reliability
No API keys to paste. No webhooks to configure. No YAML to debug. Connect your MCP servers once, and your agent handles the rest. Every time, without intervention.
Made for
exactly this
Your AI agent taps into the entire Vinkius MCP catalog 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 MCP Server Orchestration
Which MCP servers 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 MCP servers 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?
MCP servers 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.
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MCP servers used in this workflow
Axiom
Axiom. Connect your AI client to Axiom to manage logs and observability data. Ingest JSON, NDJSON, or CSV data and run complex Axiom Processing Language (APL) queries to analyze logs in real-time. You can manage datasets, create monitors, and track system errors directly through natural conversation with your agent.
PagerDuty
PagerDuty connects your AI agent directly to mission-critical incident management. Use it to list active incidents, check service health configurations, and manage on-call rotations in real time. Trigger alerts, acknowledge outages, or resolve issues without leaving your IDE—all via natural conversation.
Discord
Discord MCP Server gives your AI agent full control over Discord communities. You can list channels, manage members, send messages with Markdown, and run moderation commands—all without leaving your chat client. It lets your agent read channel history, audit server metadata, and delete messages or channels instantly.