polar-signals
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polar-signals
Server Summary
Query profiling data
Analyze performance bottlenecks
Investigate resource utilization
Monitor CPU memory usage
The Polar Signals MCP Server enables seamless integration between Claude and Polar Signals' continuous profiling platform. This server allows you to query performance data, analyze application bottlenecks, and investigate resource utilization directly through conversational interactions with Claude.
Polar Signals provides continuous profiling for production systems, helping developers identify performance issues and optimize resource usage. This MCP server bridges the gap between Claude's analytical capabilities and your profiling data, making it easier to understand and act on performance insights.
Access your continuous profiling data through natural language queries. Ask Claude about CPU usage patterns, memory allocation trends, or specific function performance across your infrastructure.
Investigate performance patterns over time. Identify when bottlenecks emerged, compare different time periods, and understand how code changes impact system behavior.
Dive deep into how your applications consume resources. Examine which functions allocate the most memory, identify hot code paths, and understand where optimization efforts will have the greatest impact.
When performance problems arise, use Claude to quickly explore profiling data and identify root causes. Query specific time ranges, filter by service or function, and correlate performance data with deployments or incidents.
Performance Optimization: Identify optimization opportunities by analyzing profiling data and getting AI-assisted recommendations on where to focus your efforts.
Incident Response: During outages or degradations, quickly query profiling data to understand what changed and pinpoint the source of performance problems.
Capacity Planning: Analyze resource utilization trends to make informed decisions about scaling and infrastructure investments.
Code Review: Reference profiling data during code reviews to understand the performance implications of proposed changes.