# tester-mcp-client

> tester-mcp-client — apify-tester-mcp-client. Use this tool when you need to interact with Apify's Actors using the Model Context Protocol (MCP) to automate testing and integration tasks. It solves problems related to actor testing and automation by providing a client interface for sending and receiving data. The tool takes input from git repositories and outputs test results, making it ideal for use cases involving automated testing and continuous integration.

Canonical page: https://skillsregistry.net/skills/apify-tester-mcp-client  
JSON: https://api.skillsregistry.net/v1/skills/apify-tester-mcp-client

## Description

Model Context Protocol (MCP) Client for Apify's Actors

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **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/apify/tester-mcp-client)

## 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": "apify-tester-mcp-client"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/apify-tester-mcp-client` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/apify-tester-mcp-client/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