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MCP Support

Polar Signals provides a Model Context Protocol (MCP) server that enables AI assistants to connect directly with performance profiling data sources. This transforms performance analysis by allowing natural language queries about application performance data.

What is MCP?​

The Model Context Protocol enables AI assistants to securely connect to external data sources and tools. With Polar Signals' MCP server, you can:

  • Analyze performance data using natural language: Ask questions like "What are the main CPU bottlenecks?" or "Show memory allocation patterns"
  • AI-driven code optimization: Get specific suggestions for improving performance based on profiling data
  • Explore profiling data: Discover available profile types, labels, and values in your projects

Setup​

Head to the "AI" section of the Polar Signals dashboard to get started. Follow the instructions to connect your MCP client and authenticate securely.

AI selection

Usage Examples​

Once configured, you can ask natural language questions about your profiling data:

  • "What are the main CPU bottlenecks in my application?"
  • "Show me memory allocation patterns for the last hour"
  • "Which functions consume the most CPU time?"
  • "Analyze the performance profile and suggest optimizations"

The MCP server will translate your questions into precise profile queries and provide actionable insights for performance optimization.

Available Tools​

The Polar Signals MCP server provides the following tools:

  • get_projects: List all projects your account has access to
  • profile_types: Discover available profile types in your project
  • labels: Explore metadata labels in profiles
  • values: Get specific label values for filtering
  • get_profile: Query profiles using PromQL syntax