# Polar Signals Remote MCP

> Use this tool when you need to analyze CPU performance and memory usage in production systems to identify optimization opportunities. It enables AI assistants to collect and process data on system resource utilization, providing insights for improvement. The Polar Signals Remote MCP server takes in production system data and outputs actionable profiling information for optimization and performance enhancement.

Canonical page: https://skillsregistry.net/skills/polarsignals-issues  
JSON: https://api.skillsregistry.net/v1/skills/polarsignals-issues

## Description

MCP server for Polar Signals Cloud continuous profiling platform, enabling AI assistants to analyze CPU performance, memory usage, and identify optimization opportunities in production systems.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mn25nct5tn)
- **Repository:** <https://github.com/polarsignals/issues>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "polarsignals-issues"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/polarsignals-issues` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/polarsignals-issues/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt