# Test Analyzer MCP Server

> Use this tool when you need to analyze and improve the testing setup of your JavaScript or TypeScript project, detecting issues and providing actionable recommendations to enhance test quality and coverage. It takes in project testing data and outputs detailed insights and visual feedback on test structure, dependencies, and coverage thresholds. Ideal for use during project development and testing phases to ensure robust and reliable test setups.

Canonical page: https://skillsregistry.net/skills/giri-jeedigunta-hello-mcp  
JSON: https://api.skillsregistry.net/v1/skills/giri-jeedigunta-hello-mcp

## Description

Enables comprehensive analysis of JavaScript/TypeScript project testing setups by detecting frameworks like Jest, Vitest, and Cypress, analyzing test coverage metrics, and generating actionable recommendations for improving test quality. Provides detailed insights into test structure, dependencies, and coverage thresholds with visual feedback.

## 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:** 2026-04-23

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/t5v8le4lph)
- **Repository:** <https://github.com/giri-jeedigunta/hello-mcp>

## 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": "giri-jeedigunta-hello-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/giri-jeedigunta-hello-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/giri-jeedigunta-hello-mcp/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