# testing-mcp

> testing-mcp — charlienearform-testing-mcp. Use this tool when you need to automate and optimize test execution, as it enables AI agents to programmatically run tests, query results, and receive intelligent recommendations about test execution strategy, providing inputs such as test scenarios and parameters, and outputs including test results and strategic insights. It solves problems related to inefficient testing workflows and suboptimal test coverage, streamlining the testing process for AI agents. Ideal for use cases where automated testing and data-driven decision making are crucial, such as continuous integration and deployment pipelines.

Canonical page: https://skillsregistry.net/skills/charlienearform-testing-mcp  
JSON: https://api.skillsregistry.net/v1/skills/charlienearform-testing-mcp

## Description

MCP server that enables AI agents to programmatically run tests, query results, and receive intelligent recommendations about test execution strategy.

## Trust

- **Trust score (0–1):** 0.52
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cupzmf1orq)
- **Repository:** <https://github.com/charlieNearform/testing-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": "charlienearform-testing-mcp"
    }
  }
}
```

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