MCP Deployment Tracking — Query Your Infrastructure Timeline with AI
Stop switching between dashboards and chasing teammates. OpsTrails exposes your entire deployment timeline through the Model Context Protocol (MCP) so any AI assistant can answer “what changed?” instantly.
What is the Model Context Protocol?
The Model Context Protocol (MCP) is an open standard that lets AI assistants connect to external data sources. Instead of copying data into prompts, MCP gives your AI assistant live, structured access to your tools and systems.
OpsTrails implements an MCP server that exposes your operational timeline — every deployment, rollback, release, and incident — as queryable data. Any MCP-compatible assistant (Claude, GitHub Copilot, Cursor, Windsurf) can read your event history and connected metrics in real time.
Real Conversations with Your Deployment Timeline
These are the kinds of questions ops teams ask every day. With MCP, your AI assistant answers them in seconds using live data from OpsTrails.
$ "Production errors spiked 20 minutes ago. What changed?"
Found 2 events in the last 6 hours. Deployment v2.1.0 to production at 14:32 correlates with the error spike — error_rate went from 0.12% to 2.41%. Recommend investigating that release or rolling back.
$ "List all deployments to staging this week"
Found 7 deployments to staging between Mon and Fri. 3 from acme/api (v2.0.8, v2.0.9, v2.1.0), 2 from acme/web (v1.8.1, v1.8.2), and 2 data loads from the daily export cron.
$ "Did the last deployment affect page load times?"
Comparing metrics around deployment v1.8.2 (acme/web): p95_latency went from 180ms to 195ms (+8%). No significant change in error_rate. The deployment appears safe.
Dashboard Switching vs AI-Native Querying
Without MCP
- Open CI/CD dashboard, find recent deployments
- Switch to monitoring tool, check error rates
- Cross-reference timestamps manually
- Ask teammates in Slack who deployed what
- Piece together the timeline from memory
~30-60 minutes per incident
With OpsTrails MCP
- Ask your AI: “What changed in the last hour?”
- Get deployments, rollbacks, and data loads instantly
- See before/after metrics automatically
- AI correlates events with error spikes
- Root cause identified, start fixing
~10 seconds per incident
Set Up in 5 Minutes
Record events from your CI/CD pipeline
Add one API call to your deployment pipeline. OpsTrails accepts CloudEvents-compatible payloads.
Connect analytics for impact metrics
Link Datadog, GA4, or custom metric providers. OpsTrails automatically compares before/after metrics around each event.
Add the MCP server to your AI assistant
Configure your MCP-compatible assistant (Claude, Copilot, Cursor) with the OpsTrails MCP server endpoint. Start querying immediately.
Start Querying Your Deployments with AI
Free tier includes 1,000 events/month and 100 MCP calls. No credit card required.