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Connect to Monti APM to monitor and analyze Meteor app performance.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Monti APM MCP Server" yet — see the docs or source repo.
Connect to Monti APM and analyze my Meteor app's performance over the last 24 hours. List the slowest methods, subscriptions, and page requests.
A performance bottleneck summary with high-latency operations and their impact.
Use Monti APM to check whether response times became slower after today's deployment. Compare average latency and call volume for key endpoints before and after deployment.
A comparison report showing whether a regression occurred and which endpoints were most affected.
Read Monti APM data and identify the Meteor methods or queries most associated with current CPU and database load spikes, then suggest optimizations.
A list of high-load sources with actionable performance optimization suggestions.
Connect AI to Apollo.io for prospecting, enrichment, CRM, and outreach tasks.
Track AI usage, costs, logs, and debug model interactions across apps.
Manage files, monitor systems, keep notes, and fetch weather via MCP.
Connect AI to LogicMonitor for monitoring, querying, and operations management.
Query Prometheus metrics with PromQL and analyze monitoring trends and anomalies.
Upload Postman assets via MCP and run API tests with managed results.