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The Polar Signals MCP Server brings AI-powered performance engineering to your Caylex projects, enabling AI agents to directly interact with real production profiling data. Rather than manually interpreting flame graphs, agents can answer natural language questions like ‘What are the main CPU bottlenecks?’ or ‘Which functions consume the most memory?’ by querying actual profiles from Polar Signals Cloud. The server provides tools to discover projects, profile types, metadata labels, and label values, as well as execute PromQL-based profile queries for precise, filtered analysis. This makes performance optimization workflows — spanning CPU profiling, memory allocation analysis, and bottleneck identification — accessible through conversational AI interactions within Caylex Navigators.
Prerequisites:
  • An active Polar Signals Cloud account with at least one project containing profiling data.
  • Authentication credentials obtainable from the ‘AI’ section of the Polar Signals dashboard.
Important API details:
  • Profile queries use PromQL syntax, so agents must construct valid PromQL expressions when calling the get_profile tool (e.g., filtering by labels like app_kubernetes_io_name).
  • Agents should first call get_projects, then profile_types, then labels/values in sequence to discover the correct query parameters before executing a get_profile query.
  • Access to profiling data is scoped to the projects your authenticated Polar Signals account has been granted access to.

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Server Details

PropertyValue
TransportStreamable HTTP
Server TypeExternal
Endpointhttps://api.polarsignals.com/api/mcp/
CategoriesAPI Tools & Services, Development & DevOps

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Authentication

This server supports the following authentication method:

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Header Authentication

This server authenticates via HTTP headers. During the server onboarding flow, you will be prompted to confirm the required headers. Note that you do not provide the values for the headers during the server on-boarding. Header values are provided by the users during the Auth Link flow.

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Getting Started

1

Add the server

Navigate to the Server Library and click on the New Server button. Find Polar Signals in the Caylex Catalog.
2

Server Onboarding flow

Go through the server onboarding flow.
3

Use in a project

Add the server to a project by configuring project connections. Its tools are now available to any agents connected to that project.
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Datadog

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BetterStack

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References

https://www.polarsignals.com/docs/mcp

https://www.polarsignals.com/blog/posts/2025/07/17/the-mcp-for-performance-engineering/