MCP Integration
Get runtime context where you work
Dstl8 exposes an MCP (Model Context Protocol) server for each organization, giving AI assistants direct access to your logs, incidents, and observability tools.
Get your MCP credentials
1. Find your MCP endpoint
Each organization has a unique MCP endpoint:
https://<org_id>.app.dstl8.ai/mcpFind your full URL in Org Settings → Organizational Info. The org_id is also surfaced in the product sign-in URL for the Dstl8 UI.
2. Generate an API token
Go to Org Settings → API Tokens
Click on Create API Token
Give it a descriptive name (e.g. "Claude Code - Jon")
Copy the token — it won't be shown again
Your token will look like dstl8_xxxxxxxx_xxxxxxxxxxxxxxxxxxxxxxxx.
Available tools
Once connected, your AI assistant has access to:
Log querying — search, filter, and analyze log samples and patterns
Incident management — create, update, and list incidents
Anomaly detection — surface anomalies across your services
Sentiment and severity analysis — understand log health at a glance
Knowledge graph — explore entities and relationships across your system
Client setup guides
Choose your AI assistant:
Example prompts
Once connected, try asking:
Situational awareness
"What are my active incidents?"
"What's going on in production?"
"Give me a health pulse across all services"
"Any active incidents in staging?"
Targeted investigation
"Why is the auth service throwing 500s?"
"Is this error happening in staging too, or just prod?"
"Show me recurring patterns in the payments service"
Deploy verification
"Did my last deploy fix the connection timeout issue?"
"Compare error rates before and after the 2pm deploy"
"Is staging converging with production after the hotfix?"
Pre-coding context
"What should I know about the billing service before I make changes?"
"Any known incidents or patterns related to the webhook handler?"
"Show me recent anomalies in the service I'm about to refactor"
Cross-environment correlation
"Is the error I'm seeing locally also showing up in prod?"
"Compare my local logs against staging for the same service"
"Is this safe to promote to production?"
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