# MCP Performance Analyzer

> Use this tool when you need to monitor and analyze mobile application performance data to detect severe issues. It solves problems related to excessive memory usage and abnormal view count growth by providing intelligent analysis with customizable rules. Ideal for use in development workflows where seamless integration and timely issue detection are crucial.

Canonical page: https://skillsregistry.net/skills/dasheng1994-mcp-analyze-quality  
JSON: https://api.skillsregistry.net/v1/skills/dasheng1994-mcp-analyze-quality

## Description

Monitors and analyzes mobile application performance data to detect severe issues such as excessive memory usage and view count growth. Provides intelligent analysis with customizable rules and integrates seamlessly with development workflows.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-04-22

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ggyvcwpft6)
- **Repository:** <https://github.com/DaSheng1994/mcp_analyze_quality>

## 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": "dasheng1994-mcp-analyze-quality"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dasheng1994-mcp-analyze-quality` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dasheng1994-mcp-analyze-quality/pull`

---
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