# mcp-server-coverage-report

> mcp-server-coverage-report — egeres-mcp-server-coverage-report. Use this tool when you need to manage and analyze Python test coverage, solving problems of identifying untested code and optimizing testing workflows. It integrates with Git to provide comprehensive coverage reports, accepting Python test files as input and outputting detailed coverage metrics. Utilize it in development contexts where ensuring thorough code testing is crucial.

Canonical page: https://skillsregistry.net/skills/egeres-mcp-server-coverage-report  
JSON: https://api.skillsregistry.net/v1/skills/egeres-mcp-server-coverage-report

## Description

An MCP tool to manage python tests coverage

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/egeres/mcp-server-coverage-report)

## 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": "egeres-mcp-server-coverage-report"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/egeres-mcp-server-coverage-report` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/egeres-mcp-server-coverage-report/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