# Local Testing Agent MCP Server

> Use this tool when you need to automate testing across multiple programming languages, to streamline test discovery, planning, and execution, and to generate detailed coverage reports. It solves problems of manual testing, language compatibility, and test coverage analysis, accepting code repositories as input and producing test execution results and coverage reports as output. Ideal for use in software development and quality assurance contexts where multi-language support is required.

Canonical page: https://skillsregistry.net/skills/marcelkurvers-local-testing-agent  
JSON: https://api.skillsregistry.net/v1/skills/marcelkurvers-local-testing-agent

## Description

A multi-language testing automation server that enables AI assistants to discover, plan, and execute tests across six major programming languages. It provides comprehensive tools for repository scanning, automated test execution, and detailed coverage reporting.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/w182evn1x4)
- **Repository:** <https://github.com/marcelkurvers/local-testing-agent>

## 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": "marcelkurvers-local-testing-agent"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/marcelkurvers-local-testing-agent` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/marcelkurvers-local-testing-agent/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
