Get Instant Incident Alerts in Discord via MCP.
Monitors fire, Discord gets the alert, the incident log updates itself , no human in the loop
Works with every AI agent you already use
…and any MCP-compatible client
Waiting for input…
Gemini How It Works
Your AI agent checks Datadog for monitors in alert or warning state. When it finds one, it pulls the monitor details , name, status, last triggered time, associated tags.
Then it searches recent logs for related error patterns and queries the affected metric to get current values. With that context assembled, it posts a structured alert to your Discord on-call channel: monitor name, severity, affected service, error log samples, and the current metric reading.
Simultaneously, it appends a row to your incident tracker in Google Sheets , timestamp, monitor, severity, service, time-to-acknowledge. After the incident, you have a clean log for your post-mortem without anyone having to fill it in.
Connector Orchestration: 3 Connectors, one intelligent agent
Connect Datadog, Discord and Google Sheets Connectors so your AI agent reads monitor alerts and log data, posts structured incident summaries to Discord, and logs every event to a Google Sheet for post-mortem tracking. Your on-call process gets a brain.
Datadog
triggerReads monitors, searches logs and queries metrics
list_monitors search_logs query_metrics list_events Discord
actionPosts incident alerts to the on-call channel
create_message list_guild_channels get_channel Google Sheets
actionLogs every incident to a tracking spreadsheet
append_sheet_values get_spreadsheet create_spreadsheet 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
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.
- Datadog, Discord & Google Sheets 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.
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.
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.
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 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.
DevOps teams that want incident alerts with log context in Discord instead of raw Datadog email notifications
SRE teams building a post-mortem culture that needs a reliable incident log , not a spreadsheet someone fills in two days later
Startups without a dedicated on-call tool that need structured alerting in the platform they already use (Discord)
Engineering managers who want a weekly incident summary pulled directly from the auto-populated Google Sheet
Frequently Asked Questions About This Connector Orchestration
Which Connectors do I need for this workflow?
Three: Datadog, Discord and Google Sheets. 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.
Does the agent automatically detect new alerts?
The agent runs when you trigger it. Ask it to check monitors, and it pulls the current state. For continuous monitoring, run the prompt on a schedule or combine it with a webhook-based trigger.
Can I customize which monitors to check?
Your prompt controls the scope. Ask for 'only critical monitors,' 'monitors tagged with team:backend,' or 'monitors that triggered in the last hour.' The agent filters based on your criteria.
Is my infrastructure data secure?
Connectors authenticate through API keys. Your agent only sees monitors, logs and metrics you have granted access to in Datadog. Vinkius does not store your data.
What if no monitors are alerting?
The agent reports that all monitors are in OK state. You can still ask it to query specific metrics, search logs, or review recent events , it works with Datadog data whether or not an alert is active.
MCP Recipe for Full-Stack Observability
Two monitoring tools, zero correlation , your Datadog alerts say 'high latency' and your Grafana dashboards say 'database connections maxed' but nobody connected the dots until the postmortem
MCP Recipe for Pre-Mortem System Analysis
Architecture red-teamed, failure modes quantified, monitoring alerts created , pre-mortem your system before production breaks it
Connectors for Cache Performance Monitoring
Your Redis cache has 47,000 keys but only 3,200 are ever accessed , the rest are ghosts from features you deleted 6 months ago, silently eating memory and money
Connectors for Monitored Deploy Orchestration
PR merged, deployment triggered, health check passed , and the deploy summary posted itself to the PR thread
Connectors to Find Your Most Expensive APIs
API traffic metered, cache savings calculated, origin load measured, cost projections generated , optimize your API infrastructure costs with data
Monitor Deployment Health Using Connectors
Deployments tracked, latency spikes caught, error rates compared, rollback decisions made , monitor every ship without watching dashboards
Connectors used in this workflow
Datadog
Datadog MCP. It lets you query performance metrics, search application logs, and manage active monitors directly from your AI agent. You can check system health, find specific error traces, and audit your alerting rules without ever leaving your chat or IDE. It turns your observability data into a conversational tool for faster troubleshooting and more efficient incident response across your entire cloud infrastructure.
Discord
Discord MCP lets you manage your community directly through your AI agent. You can list channels, send messages, moderate content, and audit members without leaving your chat interface. It turns your AI into a power user for your Discord community.
Google Sheets
Google Sheets MCP lets you read, write, and manage spreadsheet data through your AI agent. Stop wasting time on manual data entry or complex formulas. Just tell your agent to pull specific ranges, add new rows, or create entire new sheets on the fly. It handles the tedious work of keeping your data organized so you can focus on making decisions.