MCP Server Monitoring: How to Track Reliability Across Your AI Agent Stack
2026-05-27 · Dominion Observatory
If you're running AI agents in production, you need to monitor the MCP servers they depend on.
Why MCP Monitoring Is Different
Schema stability: Did the server's tool definitions change?
Response consistency: Is the server returning different formats than last week?
Behavioral drift: Has latency gradually increased without an outage?
Category baselines: Is this search server performing like other search servers?
What to Monitor
Metric
Healthy
Warning
Critical
Trust score
70+
50-69
Below 50
Success rate
95%+
80-94%
Below 80%
Avg latency
Under 200ms
200-500ms
Over 500ms
Score trend
Stable/rising
-5 pts/week
-10 pts/week
Automated Monitoring with the API
for server in brave-search playwright github-mcp; do
score=$(curl -s "https://dominionobservatory.com/api/trust?server=$server" | jq '.trust_score')
echo "$server: $score"
done
Free for up to 1,000 calls per day. Run in a cron job or CI pipeline.