# testmcp

> Use this tool when you need to enhance existing test frameworks like Jest, Vitest, or Pytest with structured results and advanced features. It solves problems of test result complexity and inefficiency by providing LLM-optimized outputs and diff-aware execution. The testmcp tool takes in test inputs and outputs structured results via MCP tools, ideal for use cases requiring progressive disclosure and efficient test analysis.

Canonical page: https://skillsregistry.net/skills/r-marques-testmcp  
JSON: https://api.skillsregistry.net/v1/skills/r-marques-testmcp

## Description

Wraps existing test frameworks (Jest, Vitest, Pytest) and exposes structured, LLM-optimized results via MCP tools with progressive disclosure and diff-aware execution.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/c3x2qaa33s)
- **Repository:** <https://github.com/r-marques/testmcp>

## 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": "r-marques-testmcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/r-marques-testmcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/r-marques-testmcp/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